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Paper Citation Record · LEDGER

PyG 2.0: Scalable Learning on Real World Graphs

As of 23 August 2026, this Paper Citation Record lists 100 of 111 outbound references and 13 inbound Pith citation observations for arXiv:2507.16991.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.16991 v2

Coverage vector

measured 100 of 111 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:03:07.721064Z

measured 113 of 113 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:37:21.417737Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T23:29:02.787728Z

Reference resolution

100 of 111 outbound references displayed

  • verified exact4
  • verified fuzzy13
  • unresolved83
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9498f944-90f4-434b-aa8b-b443979ef595 · outbound

This paper cites Large-scale graph representation learning with very deep GNNs and self-supervision.

PyG 2.0: Scalable Learning on Real World Graphs Large-scale graph representation learning with very deep GNNs and self-supervision

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:03:08.036439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.255143Z digest=sha256:c133e6cef96e1a83f501fb09bc91abb48fc1263c7dd338f92892f1926a5ae003

Observation 47c8c060-4397-4526-8018-e98c98023bfd · outbound

This paper cites Evaluating Explainability for Graph Neural Networks.

PyG 2.0: Scalable Learning on Real World Graphs Evaluating Explainability for Graph Neural Networks

Reference 2

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unresolved
no resolver link, observed 2026-08-06T15:03:07.258742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.258742Z digest=sha256:a7d9ac750707daff3851a6b353af5b40b2b3ec70c66fc3465dd4eb562e100e49

Observation 9648387c-d631-4e9c-8c00-5ba93f873898 · outbound

This paper cites Amara, Z.

PyG 2.0: Scalable Learning on Real World Graphs Amara, Z

Reference 3

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unresolved
no resolver link, observed 2026-08-06T15:03:07.262420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.262420Z digest=sha256:9736e2b2815c1b8cdf49f4478293acc5639a254146133afc14c96a8daf01707a

Observation 33d08a5f-f6ab-4357-aa7f-286aed9e3508 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 4

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unresolved
no resolver link, observed 2026-08-06T15:03:07.265622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.265622Z digest=sha256:d742a64e175ec69ac4ec7458048054249c54be74e82ccd344e8b58eeed1f066a

Observation 3132265f-8c11-4432-b2a1-8f8260f00048 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T15:03:07.268587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.268587Z digest=sha256:d82f4767f7f6b814506a88abdf008b758d4db1ec1355ed02e2abf7d638a32506

Observation 868593ff-6521-472e-ad5d-bcd88a5c36fa · outbound

This paper cites Fuchs, and Timothy Lillicrap.

PyG 2.0: Scalable Learning on Real World Graphs Fuchs, and Timothy Lillicrap

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T15:03:07.271492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.271492Z digest=sha256:26c181614c266feed8155d25440fe99228d06eb8f0eb7787e40fae488dd695f1

Observation 0c1a9211-11f2-470f-aa65-952d1cf9f29d · outbound

This paper cites Relational inductive biases, deep learning, and graph networks.

PyG 2.0: Scalable Learning on Real World Graphs Relational inductive biases, deep learning, and graph networks

Reference 7

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unresolved
no resolver link, observed 2026-08-06T15:03:07.274511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.274511Z digest=sha256:eca230ad503ff46845e7ff188b15ad0e9db799ad1d8c88f26c8a30d3dee08115

Observation 9d616ec3-3af3-48bc-96b8-a221e6423b9d · outbound

This paper cites Bechler-Speicher, B.

PyG 2.0: Scalable Learning on Real World Graphs Bechler-Speicher, B

Reference 8

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unresolved
no resolver link, observed 2026-08-06T15:03:07.277827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.277827Z digest=sha256:c4192781a9237f6fbe05a532cc49213ba6593026661c1f2f24c21ba7e84f06c9

Observation b537c5ac-4e03-4d73-9c69-decc36b62ab6 · outbound

This paper cites Brahmbhatt, C.

PyG 2.0: Scalable Learning on Real World Graphs Brahmbhatt, C

Reference 9

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no resolver link, observed 2026-08-06T15:03:07.283820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.283820Z digest=sha256:2380bdc6e63f309286b5830fe39f06855cca56682baacc5b8f5c2ad7617fb8d7

Observation 125c57de-5655-458b-b898-7ce20676ec09 · outbound

This paper cites Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges.

PyG 2.0: Scalable Learning on Real World Graphs Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

Reference 10

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unresolved
no resolver link, observed 2026-08-06T15:03:07.286787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.286787Z digest=sha256:291a50d0f00fc1527bc0881b0fcc02e3956955c813e1b064eae7999facb3b14f

Observation 600b8b6b-7898-4297-829e-97df96b10ec7 · outbound

This paper cites Cappart, D.

PyG 2.0: Scalable Learning on Real World Graphs Cappart, D

Reference 11

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no resolver link, observed 2026-08-06T15:03:07.290115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.290115Z digest=sha256:ab7287d899b539bcfa936873585759b02931318bf418468799af1aff6f2973a7

Observation e99d2a6b-adde-42ca-8e63-f591a728b7f7 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 12

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no resolver link, observed 2026-08-06T15:03:07.293801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.293801Z digest=sha256:17842ef240c9de79024ffa13f32838b5b5c180e34c71524531b0108b47082e51

Observation 9cfc3a0c-b12f-461b-8912-dad338b9db9f · outbound

This paper cites ExcelFormer: A neural network surpassing GBDTs on tabular data.

PyG 2.0: Scalable Learning on Real World Graphs ExcelFormer: A neural network surpassing GBDTs on tabular data

Reference 13

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no resolver link, observed 2026-08-06T15:03:07.296620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.296620Z digest=sha256:a28f89e2306c51f3af9d6038613ff7d522be6da265678c9024ef8ff614d76557

Observation 907a1ecd-cca4-4058-a46d-f82e0e5e62f7 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 14

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unresolved
no resolver link, observed 2026-08-06T15:03:07.300483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.300483Z digest=sha256:19e1c5be0b42f89aceeff6bc95cbf06bb2c3446733bf1a872a72044a438d5f85

Observation 798b62d6-b927-4b9f-8799-fa901ac02bea · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 15

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no resolver link, observed 2026-08-06T15:03:07.303313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.303313Z digest=sha256:045fee77669a53e0db6d1569f4fc9fd278aaf573cdad423ebec16de53cb022d2

Observation bbf4a9bc-a171-48b3-9dac-a8220da6874b · outbound

This paper cites Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights.

PyG 2.0: Scalable Learning on Real World Graphs Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights

Reference 16

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no resolver link, observed 2026-08-06T15:03:07.306476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.306476Z digest=sha256:89f7e042b7d0d33c5b084f3c17386694917711ab0efb8e35df6f6b89260ddb7d

Observation b8448d5f-8d94-4686-b1f0-337da2f6768b · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 17

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no resolver link, observed 2026-08-06T15:03:07.310086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.310086Z digest=sha256:d01e6ecdfc0c6bdd8c635cecf63cca2f837a7888edf3b302d38b49301e78fdf9

Observation 477206a6-c4af-45ef-ac03-e834dfcfdd81 · outbound

This paper cites Corso, L.

PyG 2.0: Scalable Learning on Real World Graphs Corso, L

Reference 18

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no resolver link, observed 2026-08-06T15:03:07.313163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.313163Z digest=sha256:d3fb3952e333fa939ad9b1f68814786a1d12845492b0c839739c9f3eb280d4ab

Observation a0decdaf-acf5-4901-8dd6-257d7fca8e67 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 19

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no resolver link, observed 2026-08-06T15:03:07.315953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.315953Z digest=sha256:54e8adc95bc442dcc8df04e58a42060a2ec9666862447d850097ceaa8ee0ba94

Observation edadf499-d31d-4fa9-8cba-7ef1632c1666 · outbound

This paper cites Defferrard, X.

PyG 2.0: Scalable Learning on Real World Graphs Defferrard, X

Reference 20

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unresolved
no resolver link, observed 2026-08-06T15:03:07.318601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.318601Z digest=sha256:04366c8543a42396fda0bbd4d117b6edfb3b010e1efa7dd49e574b9f4ba1ac71

Observation aac99ca1-ce58-44dd-a2b5-6e15e9838a66 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 21

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no resolver link, observed 2026-08-06T15:03:07.321313Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.321313Z digest=sha256:16627842b16e82f916d97638d2ac820ac9459de138bf17ee58247451e3fa42e8

Observation ec47607d-6bfb-4439-969d-46b21afaa266 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.324567Z digest=sha256:c59deb3cebb072c1b4008e7e26f990cdde465871528e8a71c2539a7d1a153a3b

Observation e88d75bc-7e91-417f-a04b-f71059c0beb9 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 23

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no resolver link, observed 2026-08-06T15:03:07.327415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.327415Z digest=sha256:8bb6d42eb0701539e192d2d40afb4637e2c2557783a3fb484d0785873a5d83cb

Observation ffe6166f-5e34-4614-ab3a-27e327404755 · outbound

This paper cites The Faiss library.

PyG 2.0: Scalable Learning on Real World Graphs The Faiss library

Reference 24

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unresolved
no resolver link, observed 2026-08-06T15:03:07.330621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.330621Z digest=sha256:0f783b226a1da1bbbff930aca50b9d785e8b26195cb957d19addc6aa438d3846

Observation 13667836-0780-4052-acc9-db27b67c6faf · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 25

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no resolver link, observed 2026-08-06T15:03:07.333753Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.333753Z digest=sha256:3ab028fbc3ead81becf071be03ce6297c60be942d36e6cfb2965faf4b1568429

Observation d220c339-0930-441b-8e82-20cdcd1e61a1 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 26

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no resolver link, observed 2026-08-06T15:03:07.337201Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.337201Z digest=sha256:f2e97e4410d1a25e8c55a30eb30389d39aef79a5b81f34c7c23d6228c01589dd

Observation 7117ccac-a1b4-4570-9e26-4a3f7109abf9 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 27

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source=pdf_text observed=2026-08-06T15:03:07.343499Z digest=sha256:d0e51aef90f30faaf6852f6155db89217901958fe8c229ff7f50c79cc11762c0

Observation 2aa224be-ba5c-478b-a6f3-af120b47f27c · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 28

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source=pdf_text observed=2026-08-06T15:03:07.346319Z digest=sha256:eff7de6a4fc0d9ed78281766b876be4aaba9e1b4e77c4c051941ed8d36f76a64

Observation 5e475b3a-dc12-4724-8115-bb09cc5d1f4c · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 29

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no resolver link, observed 2026-08-06T15:03:07.349158Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.349158Z digest=sha256:b17dddfc83fb1d36664be7f0655ee859fe251ebb02171545fa736e9553075891

Observation 2d19d005-f6e0-48bf-91d2-e64254c44323 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 30

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source=pdf_text observed=2026-08-06T15:03:07.352037Z digest=sha256:72016b140f24b91d769e5099be2ef53e4a70f2f448c95484aab6a6f8e0c66210

Observation cebdf560-5821-4b09-900c-59157d036c4c · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 31

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source=pdf_text observed=2026-08-06T15:03:07.354761Z digest=sha256:2cf0cc4c86da3c9477e737724ec158e7470b404f6a70db7b32d89efccd1eebe1

Observation a71d1444-3efa-4f73-8b6b-36e5488228ff · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 32

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source=pdf_text observed=2026-08-06T15:03:07.357633Z digest=sha256:5cba677d96f9373a434e80de4fd9c8e5134a33984826b20bddc65c02ea2be7b8

Observation b2312a70-c78d-42fd-b325-93c8e1a4e7d1 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 33

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source=pdf_text observed=2026-08-06T15:03:07.475449Z digest=sha256:36cd2407a700bf3820c81da54e0f3867233d899106c4799c6074604e0da3e5fd

Observation 7e4ad066-21f7-48a1-9e95-9383a95d33fc · outbound

This paper cites Schoenholz, Patrick F.

PyG 2.0: Scalable Learning on Real World Graphs Schoenholz, Patrick F

Reference 34

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source=pdf_text observed=2026-08-06T15:03:07.481149Z digest=sha256:652a758f0bcaa38abd8fea9a80663cb0808b20da058b7bd48cb1aca62e67d879

Observation a3f013ff-4b8a-4fb9-97c7-32a0b5fe1c15 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 35

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source=pdf_text observed=2026-08-06T15:03:07.485262Z digest=sha256:631a8450e123181f26a3b98c050a82310a0f2d54c3111507b57db74c30033fc1

Observation c940304f-d6e0-4738-8374-f53e700b5609 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 36

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source=pdf_text observed=2026-08-06T15:03:07.490022Z digest=sha256:a70e52e330165ef6ed6d267d7fa2ab047c9be7fd70ad2feb779eeb2137f3bb4e

Observation 34ac36e0-2c70-4342-87c1-ba2de333d78d · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 37

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unresolved
raw_fallback, observed 2026-08-06T15:03:08.643328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.493348Z digest=sha256:934a382c2ea0f15cb4339c9219708c9537bbe4fabf809145b9947fb35b503ca1

Observation ebae7ffa-3f3b-4c4f-b74f-3b50ef12f541 · outbound

This paper cites FedML: A Research Library and Benchmark for Federated Machine Learning.

PyG 2.0: Scalable Learning on Real World Graphs FedML: A Research Library and Benchmark for Federated Machine Learning

Reference 38

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.496193Z digest=sha256:7c28ea26923aff475ebf751170b75959b98958f9d3117160a76fe7c59c6bed2b

Observation 1c23712a-96f1-42ec-94d4-a015b74eec45 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 39

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raw_fallback, observed 2026-08-06T15:03:08.634420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.499321Z digest=sha256:02ea5ca018b568fa15064866f76ba55a11aae330e95cbb8f1c7acff41f0e2574

Observation f920fb78-7ff0-437c-9811-2b6f979277dd · outbound

This paper cites G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering.

PyG 2.0: Scalable Learning on Real World Graphs G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering

Reference 40

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.502724Z digest=sha256:ef0f19340286fd2464df1934e52ba4c301872acea3e6fc9f2a1bb658a4062275

Observation 5f541d61-9dbd-47de-a77b-708f16a2597a · outbound

This paper cites PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning.

PyG 2.0: Scalable Learning on Real World Graphs PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T15:03:07.506388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.506388Z digest=sha256:94863cdb84005fa16e9a053474c2efa61ef9ae96b9ec9c02857a750891628147

Observation cf158082-1216-4a87-9c2b-111af478345e · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:03:08.625094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.509623Z digest=sha256:a9ffa3139d691bded3733d1f900d09cef6fb3dd1f903f8fa750ef62e12a0c1e7

Observation 216e95ad-0447-4222-a126-11958d8cfc19 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:03:08.615452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.512529Z digest=sha256:1cd880662544aea5b05afb3b252435036af0505897bc16173983e5ec41333fbf

Observation e5b23dbb-546d-41ac-9a9e-e9ab15bf35af · outbound

This paper cites Huang, T.

PyG 2.0: Scalable Learning on Real World Graphs Huang, T

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:03:08.606203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.515720Z digest=sha256:a17f4d3a51b19a41e4226a7681104445d05c5b441881b58754519f744f374051

Observation b308deba-3b60-4662-b188-857b0006d1af · outbound

This paper cites TabTransformer: Tabular Data Modeling Using Contextual Embeddings.

PyG 2.0: Scalable Learning on Real World Graphs TabTransformer: Tabular Data Modeling Using Contextual Embeddings

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T15:03:07.518722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.518722Z digest=sha256:ef41a0d8c608abdf6a0b6abb7015de6b135aaf0511c8ea7a96529a03910e15e7

Observation fac6bc5e-cdb9-42e4-a117-2ae8a105dc85 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:03:08.596687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.521827Z digest=sha256:61ffe01560fd1c7f4aed333afa28be47d3b7a29525dba76e93bd2d8b2dc24e85

Observation 19c373d8-f2ea-4e8d-9e5e-217ff8edb49f · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:03:08.587105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.525276Z digest=sha256:760e39a5d79de8ac30bd01b8fc22b72ddd1fbd79595f71230cc82ddf86e7d287

Observation e34c4598-4f8d-48e0-b02f-c02103f730db · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:03:08.577949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.528640Z digest=sha256:0ed65ef83a191f96bf2ef4e3a400d11fbc026738ff82e56c66273b1a4a681dde

Observation 8a57c759-909e-4d3e-938c-b9995bd3ebae · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:03:08.568876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.532999Z digest=sha256:eaab51730b149e029d2c5ba6d0e72adeead4da71a091a4d5b1ccdd2f70205c9c

Observation 9dd1c7b8-1ddd-4bfc-b268-5a9624fe3d52 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:03:08.559027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.536361Z digest=sha256:f5c0c9c4d4a9985e60fafbf3871487659acd19b5bf2e125288b71b928087252b

Observation 94634029-be39-4215-9f86-7f3316e02ccf · outbound

This paper cites Captum: A unified and generic model interpretability library for PyTorch.

PyG 2.0: Scalable Learning on Real World Graphs Captum: A unified and generic model interpretability library for PyTorch

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T15:03:07.539446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.539446Z digest=sha256:a517ea4a255faa6dfbde4807f2d8523210f3d4d120bb3b61a55d4cfd9a4d5678

Observation 82a7e718-2827-4972-b3cb-73fcfb7b3ad3 · outbound

This paper cites AIFS -- ECMWF's data-driven forecasting system.

PyG 2.0: Scalable Learning on Real World Graphs AIFS -- ECMWF's data-driven forecasting system

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T15:03:07.542760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.542760Z digest=sha256:0fe35e566091b0efef68bddf2e20cf99f646150f7c19bb72310b330bde02f8f4

Observation 57c9528e-73ab-4457-ab42-7ba3a1541a3b · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:03:08.548730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.546437Z digest=sha256:027d69c4714d35fb68ec086710a6cadb862a46fb22a7af9b9936d39621611f9b

Observation ded48a1a-bde9-4179-a1db-8776e5a9694f · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

PyG 2.0: Scalable Learning on Real World Graphs Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T15:03:07.550039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.550039Z digest=sha256:13a927ff16841c5abf34d70e869ccf652ff7237d2e1a74aae234698210a689c8

Observation f2359a25-9df7-4aaf-aa1b-0978f5cdb702 · outbound

This paper cites DeeperGCN: All You Need to Train Deeper GCNs.

PyG 2.0: Scalable Learning on Real World Graphs DeeperGCN: All You Need to Train Deeper GCNs

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T15:03:07.553459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.553459Z digest=sha256:4e8367bb2680b6a84527bbc478d1d7b533b63ff4cbec60033cb6b1963c8cc2eb

Observation 7ebb8345-d34f-4475-b6c6-cd4ad13738fc · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:03:08.539542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.556774Z digest=sha256:98c3303a8985bc7eab05dccab7f1051701f19c042673373b213263ba4327b89c

Observation b59d0332-c86b-441d-b4b7-f91554e2669a · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:03:08.529800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.559893Z digest=sha256:2b5dce06cd83be0cbf79d87e3dcdecbdd8424168e8efb0a1563dc980be8e0292

Observation 6e77ec40-cf9e-45eb-9036-3bd7e221d105 · outbound

This paper cites Parameterized Explainer for Graph Neural Network.

PyG 2.0: Scalable Learning on Real World Graphs Parameterized Explainer for Graph Neural Network

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:03:07.861730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.562539Z digest=sha256:c0df88ae3abd148bbfee07770c48743f75ddcbafed6ed12aa2f3c8ea2de336f2

Observation 05c9a21f-2680-4bd5-b276-a71c787cf778 · outbound

This paper cites Markowitz, K.

PyG 2.0: Scalable Learning on Real World Graphs Markowitz, K

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:03:08.520067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.565841Z digest=sha256:aec051092fe6d0502a906bfe55a9cd16e0512b8871b8402f3d15227136cef2d2

Observation b5e9bf94-aa82-46e3-8772-672506e30721 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:03:08.509124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.568396Z digest=sha256:73308097fac632630d801f4e2a967ceabd80b6c922f66d003f57d790f506972b

Observation 8a570acb-a5b0-4724-9c2f-8d933cb0051a · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:03:08.499717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.571318Z digest=sha256:c6a6c0dfff33036e725d660dac4df4f89b64f9688472ea46540af5e131ef57f4

Observation cdf45e6a-6ba9-454c-bae6-d68f7db9c0da · outbound

This paper cites Heterogeneous Edge-Enhanced Graph Attention Network For Multi-Agent Trajectory Prediction.

PyG 2.0: Scalable Learning on Real World Graphs Heterogeneous Edge-Enhanced Graph Attention Network For Multi-Agent Trajectory Prediction

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T15:03:07.574132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.574132Z digest=sha256:33d1ee0916e161035bdf95f26a531ed8d4eac9d2f2118542b12880612e6f2c9f

Observation 1b46ee56-d34a-48d0-99dc-97ad74fb6f20 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:03:08.489980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.577259Z digest=sha256:51ba7192c2b13b8d7cb01eb6611be547ffa07b007832cb2a94f1985ce57c5daa

Observation 7d5ba880-03c8-4fe5-b730-19ae31fa36ee · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:03:08.480623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.580178Z digest=sha256:6a974d03081d80ef4f7a329fad28989819992b4e3f30d30122339456874378b0

Observation e54fd29a-34c8-447e-bf3f-04bab2869377 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:03:08.471473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.587542Z digest=sha256:ac489111e1db4d58e2ce1011f8f6d4635919c406057d6e496a99ddcf0b6e39f1

Observation f8811324-0c58-4a6c-a9bb-1734c8e6a848 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:03:08.462926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.590916Z digest=sha256:5d8e289a94db42b540eb59dd953bf56bd2a7ffecd2f700571ec8a2140054ad33

Observation 31a28535-b306-4905-a0bc-83d835eb48ff · outbound

This paper cites Stern, and Artem Cherkasov.

PyG 2.0: Scalable Learning on Real World Graphs Stern, and Artem Cherkasov

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:03:08.453266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.594016Z digest=sha256:e64650ff8587b7ecb8b73b231fbf2b838c1b437398cc8c2fec64afd58d1ccd0d

Observation 5cd8480a-b5f2-489e-b3ad-8cadf60559b4 · outbound

This paper cites Paszke, S.

PyG 2.0: Scalable Learning on Real World Graphs Paszke, S

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:03:08.440455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.597539Z digest=sha256:12ff92bafe4ec544e92c5c55853c23aea9ca9999462d546f762eaa42f061726c

Observation 4bbc3262-e926-4e6e-afbe-6709f201f071 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:03:08.418983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.605260Z digest=sha256:0ba27c5878b6614273daf2c83d99be5816190137c14d048c08634cfe2e80d768

Observation bf4f542a-74bb-4a9f-91d6-0fbe7dec25d3 · outbound

This paper cites Rampášek, M.

PyG 2.0: Scalable Learning on Real World Graphs Rampášek, M

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:03:08.408761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.609856Z digest=sha256:1bd8f3bd2f2d4c2740990684d65762dcaf51d833b5be31cb3e62d0c7c8579a13

Observation 47007f95-5045-4001-a2f7-95be5d2cb5b5 · outbound

This paper cites Reed, Zachary DeVito, Horace He, Ansley Ussery, and Jason Ansel.

PyG 2.0: Scalable Learning on Real World Graphs Reed, Zachary DeVito, Horace He, Ansley Ussery, and Jason Ansel

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:03:08.399642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.613174Z digest=sha256:7d5cc40ccc302608136958777ce6153079c05cf46d05e1cda1e90fabb8a8ea02

Observation 538f1587-5646-4053-8df0-4238d100ae35 · outbound

This paper cites Lenssen, Yiwen Yuan, Zecheng Zhang, Xinwei He, and Jure Leskovec.

PyG 2.0: Scalable Learning on Real World Graphs Lenssen, Yiwen Yuan, Zecheng Zhang, Xinwei He, and Jure Leskovec

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:03:08.387686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.620610Z digest=sha256:617cf4dfbd3e7d4fe65383ebc7bdd55cc9c567eb0f24ed4f61719bc1e3e140ad

Observation 4d96be73-08bd-40d8-9af5-f0ddfd6df304 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:03:08.378740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.623692Z digest=sha256:3785250a407714b6fcef4e5cc02084e1ed0dcd19157f5cc1d2e89528d053a222

Observation ee062a5e-4029-4113-bc40-bc559f4cbe41 · outbound

This paper cites Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling.

PyG 2.0: Scalable Learning on Real World Graphs Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:03:08.369178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.626860Z digest=sha256:22ce0a95cd2a938a916f90e24d8b4e8362ed3eb8d8584685527fdaf76d507db9

Observation 86e8f570-5d8b-48b7-8cd1-6ae5ed026eb6 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:03:08.358787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.630401Z digest=sha256:6d7c2bfa229f913b5fe362a26951017040abf6b9106eef30b7028470f73e99f7

Observation a8ebb224-e954-454c-b515-1a92854443fd · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:03:08.349447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.633899Z digest=sha256:7cf609304c17bb2ba1ccd773b30f9311d99d41d8148616d8ba8acdfee69ec3c7

Observation f9b9792d-6f24-4f3f-88f2-c00e64647bfd · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:03:08.339388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.636915Z digest=sha256:a025caba757ee9dbc0348f61279214a29f03f4c675039fe33a87209f5a1aec56

Observation 00c3ed3c-1e94-4df4-bee4-d386a216ada0 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:03:08.328757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.639990Z digest=sha256:12d5015e2ab6ea436b7f05938f4dd00f3363e48950b87a9c91107dc82dc71973

Observation 7daf51c2-88cd-40cf-8e14-ba1371351d0c · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 79

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raw_fallback, observed 2026-08-06T15:03:08.318889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.643331Z digest=sha256:617f21a6b57a36b3b5706a858176486aec217da8cbc5c81da4fed7fefc8ec564

Observation 06b3dda3-c444-4488-a1d0-86f1676b8fe9 · outbound

This paper cites Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.

PyG 2.0: Scalable Learning on Real World Graphs Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 80

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no resolver link, observed 2026-08-06T15:03:07.647751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.647751Z digest=sha256:d44a4b2678fc37b7312a43e3a2946365de93c701fd2dbfbfe564b905da5b609d

Observation 14c815e3-9fc7-4dfa-8ff3-c0a44a3f985d · outbound

This paper cites Springenberg, A.

PyG 2.0: Scalable Learning on Real World Graphs Springenberg, A

Reference 81

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verified fuzzy
raw_fallback, observed 2026-08-06T15:03:08.309203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.651301Z digest=sha256:c712d1b8350037029d7d60fdd859fbb14683af282b4749a5511b260ec05b369f

Observation 34e7b709-2fff-4d7e-8577-d53c897f3eba · outbound

This paper cites Sundararajan, A.

PyG 2.0: Scalable Learning on Real World Graphs Sundararajan, A

Reference 82

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raw_fallback, observed 2026-08-06T15:03:08.298518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.654891Z digest=sha256:3b60a8cbc6258a3bdef999d5e802b40b74a2926e1c0e12be420c13d99f18ce7b

Observation a22e8ff0-7843-453c-ad92-44a705dac661 · outbound

This paper cites Tailor, Felix L.

PyG 2.0: Scalable Learning on Real World Graphs Tailor, Felix L

Reference 83

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raw_fallback, observed 2026-08-06T15:03:08.286727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.658036Z digest=sha256:fe29dffa64e63f12bfe3e66f42b885e14c3ff12d31be2560b91f7ccb2db6216f

Observation cb579a6d-b8e6-4087-b74e-1b599e184fac · outbound

This paper cites Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness.

PyG 2.0: Scalable Learning on Real World Graphs Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness

Reference 84

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no resolver link, observed 2026-08-06T15:03:07.661214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.661214Z digest=sha256:162821baa7a55bde2474f5e90bf40bc7ad57de42023283e32b40d1695257f9e3

Observation 3d9b87d2-d1fb-4bc7-8df8-246d80ec6030 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 85

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raw_fallback, observed 2026-08-06T15:03:08.275534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.664299Z digest=sha256:4e94d47c0043b5795f9f54dae6cb22703ec450b590c879246e0cfb6647cf3d78

Observation 76ac1047-1ece-474e-a1d5-9ab29959fb47 · outbound

This paper cites Veličković, G.

PyG 2.0: Scalable Learning on Real World Graphs Veličković, G

Reference 86

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verified fuzzy
raw_fallback, observed 2026-08-06T15:03:08.266254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.667541Z digest=sha256:db7b75ddf2e132776462ecd90fa64851f29253678174e90b76fbebb0eef36d5b

Observation 3866487b-a745-42be-a818-9912e5d0218f · outbound

This paper cites Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks.

PyG 2.0: Scalable Learning on Real World Graphs Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks

Reference 87

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no resolver link, observed 2026-08-06T15:03:07.671014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.671014Z digest=sha256:9fdf8a715ea47e495c4f6c03676ec4dc575823417e8f9cfd535a0e9e3adae666

Observation 97110228-4050-4ba1-9c39-92135be08057 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 88

Resolution
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raw_fallback, observed 2026-08-06T15:03:08.256482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.674448Z digest=sha256:864287e21db447e4940a40e3b4f69db1c2f904ee13ce2448bb742f0c919192e4

Observation ca65b2ef-acf9-45e5-8571-2e8ac50e758d · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 89

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unresolved
raw_fallback, observed 2026-08-06T15:03:08.246885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.677890Z digest=sha256:b522b309a858f51b1da23e136f95297965d5537620c3653655da5df139988c57

Observation 2b9a718b-b0c9-4ecd-b658-bcb73f58c14d · outbound

This paper cites Time-Aware Neighbor Sampling for Temporal Graph Networks.

PyG 2.0: Scalable Learning on Real World Graphs Time-Aware Neighbor Sampling for Temporal Graph Networks

Reference 90

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verified exact
local_arxiv, observed 2026-08-06T15:03:07.795516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.681357Z digest=sha256:5084c42eea468c75512def93e3c478e121b179d918f305806f32b2ae6515dc42

Observation 8b1ecaa4-a7c7-4a18-8c0b-3cf61cdd8450 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 91

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raw_fallback, observed 2026-08-06T15:03:08.237547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.685618Z digest=sha256:316250b649c3a124c20b9fd4225a3a30e64228ccce0acd7696288c86baa20918

Observation c08cffa4-3ade-4c0f-9872-e2a6d01fc8f2 · outbound

This paper cites SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations.

PyG 2.0: Scalable Learning on Real World Graphs SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations

Reference 92

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:03:07.779693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.689149Z digest=sha256:9230bb4cd7c888ac5381e7c6ef0d1c01ff2e9446431613b3cd62d99445ac2eec

Observation c7bd8d35-1e13-45ab-b4e9-30236bf029e3 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 93

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unresolved
raw_fallback, observed 2026-08-06T15:03:08.227146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.693103Z digest=sha256:6f34c0c49e98ad39142f788a4c00d369ea8bfdfa9bd17db86c338ea0184547a4

Observation b16b237b-d424-43d3-b997-09be412aa60e · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 94

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:03:08.216453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.696677Z digest=sha256:8748b7da6257de2ed470110ac5e6e44d66fec5addde8578860594a03243c5401

Observation 1f6b3ce2-5f5c-487d-89d0-0a05bf0eacf1 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 95

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:03:08.203078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.700610Z digest=sha256:010e32b23f39a864d946540f0d6adb13f9381c41e91eb4ff9601bf21e58d9cae

Observation 387c3766-2185-44f5-91be-8861fb7a2f4f · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 96

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:03:08.191000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.703685Z digest=sha256:4e16ed2ea5019845f6b01c845e0652aae0854ee9371fa58cd929123be6379ded

Observation 9daa8cd8-0fbf-4847-9dca-0e3c6c46738d · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 97

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:03:08.176757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.707029Z digest=sha256:552dd16e1f716911350f63082c8e8ca279383e401539711fe3454b06bb01318d

Observation 2aa7bbf4-fcb9-4a91-a0af-b6931fbaf894 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 98

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:03:08.157605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.710314Z digest=sha256:16803e181bb2a7ea77c55d179e7633e7cc0abbeac08ca77d2c7086b544c69f6b

Observation ae252004-0691-4cba-9382-512463fffe62 · outbound

This paper cites an unresolved cited work.

PyG 2.0: Scalable Learning on Real World Graphs Unresolved cited work

Reference 99

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unresolved
raw_fallback, observed 2026-08-06T15:03:08.134798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.717269Z digest=sha256:771f3976a8dffdb2631f7e9d7d70ef7beb2603eb0a40650c8a0a76966650420d

Observation 1a6a03be-4625-4e1c-b7c2-9e6b3386d5b7 · outbound

This paper cites Khar- gonekar, and Mohammad Abdullah Al Faruque.

PyG 2.0: Scalable Learning on Real World Graphs Khar- gonekar, and Mohammad Abdullah Al Faruque

Reference 100

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verified fuzzy
raw_fallback, observed 2026-08-06T15:03:08.119939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:03:07.721064Z digest=sha256:1480caf2f2558ac16746458b7f2c8504610b9187d4ef56edd266bf159ab99c55

Pith citing papers

Observation d6988b90-b44a-4bc0-8b5c-bdad909a962e · inbound

CrediBench: Building Web-Scale Network Datasets for Information Integrity cites this paper.

CrediBench: Building Web-Scale Network Datasets for Information Integrity PyG 2.0: Scalable Learning on Real World Graphs

Reference 24

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unresolved
no resolver link, observed 2026-08-04T14:50:07.219100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:50:07.219100Z digest=sha256:265803cfd74dd205fcee621fe5408a50c75f494b18dd820067f72cf3d4d14c07

Observation b9b27f0b-5b34-4cbd-9834-9b36212e1d7c · inbound

CrediBench: Building Web-Scale Network Datasets for Information Integrity cites this paper.

CrediBench: Building Web-Scale Network Datasets for Information Integrity PyG 2.0: Scalable Learning on Real World Graphs

Reference 2025

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unresolved
no resolver link, observed 2026-08-04T14:50:07.329059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:50:07.329059Z digest=sha256:448dd65f05c8f148529a6913b09182dcd46a9477a67d3c91d60c3cd9fd940858

Observation a973f8ae-defe-413d-9012-9e7dd43f4fc9 · inbound

Latent Dynamics Graph Convolutional Networks for model order reduction of parameterized time-dependent PDEs cites this paper.

Latent Dynamics Graph Convolutional Networks for model order reduction of parameterized time-dependent PDEs PyG 2.0: Scalable Learning on Real World Graphs

Reference 28

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unresolved
no resolver link, observed 2026-08-03T10:12:36.972801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:12:36.972801Z digest=sha256:ba5818a61a46a53fcb0671f2935aef1343ea6adf730c217f75650b95638b77df

Observation 8cccd806-8881-4ad1-b60a-ed4624222563 · inbound

Predictive Query Language: A Domain-Specific Language for Predictive Modeling on Relational Databases cites this paper.

Predictive Query Language: A Domain-Specific Language for Predictive Modeling on Relational Databases PyG 2.0: Scalable Learning on Real World Graphs

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T02:53:07.214348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:53:07.214348Z digest=sha256:99c194b49f450c802e840fb96ea4946ca34223b5ab0e0d0a78a9a4b28dcceb62

Observation 25899afb-4dd5-42cf-a485-24a1453a701f · inbound

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding cites this paper.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding PyG 2.0: Scalable Learning on Real World Graphs

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:51.041188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:51.041188Z digest=sha256:18159c7f8cc1129ede223b820cd3312198e78359e070b8f8c1f0b02dd8f6dc70

Observation b775c246-17fb-4d23-a7e6-27702b45569d · inbound

Graph Neural Networks Are Not Continuous Across Graph Resolutions cites this paper.

Graph Neural Networks Are Not Continuous Across Graph Resolutions PyG 2.0: Scalable Learning on Real World Graphs

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:12:47.041449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-28T23:08:13.285717Z digest=sha256:dc62370e2010b329e2fa3933edd813377af44d5ec0e398c4a28f4cf87043ef41

Observation e98d7e1c-1921-4b11-8295-607e2c629067 · inbound

On Efficient Scaling of GNNs via IO-Aware Layers Implementations cites this paper.

On Efficient Scaling of GNNs via IO-Aware Layers Implementations PyG 2.0: Scalable Learning on Real World Graphs

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T19:16:01.118486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T22:52:59.081816Z digest=sha256:56d007959dc28f73c6d6a160705114f71399b9806754a426c3b21b0f8430b657

Observation 52a3218a-7996-4cd1-82e0-6795ac3cca0b · inbound

RankGraph-2: Lifecycle Co-Design for Billion-Node Graph Learning in Recommendation cites this paper.

RankGraph-2: Lifecycle Co-Design for Billion-Node Graph Learning in Recommendation PyG 2.0: Scalable Learning on Real World Graphs

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:29:02.789565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T22:11:12.138289Z digest=sha256:8590447c131f99ed09b2dcace860874289dfe5737e03f14c2d1be342572212e7

Observation ead432b7-b5bf-4136-8692-cf4258a540d6 · inbound

RankGraph-2: Lifecycle Co-Design for Billion-Node Graph Learning in Recommendation cites this paper.

RankGraph-2: Lifecycle Co-Design for Billion-Node Graph Learning in Recommendation PyG 2.0: Scalable Learning on Real World Graphs

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-30T10:44:36.301877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T10:43:41.332035Z digest=sha256:448b0b0b8bb0028705b8c4a342dad96690ef8709bc8d43a4625f9eb4dbb5cc2e

Observation 01e37f86-bf5c-4b7b-a27f-094b191b3428 · inbound

RankGraph-2: Lifecycle Co-Design for Billion-Node Graph Learning in Recommendation cites this paper.

RankGraph-2: Lifecycle Co-Design for Billion-Node Graph Learning in Recommendation PyG 2.0: Scalable Learning on Real World Graphs

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-14T17:47:07.219294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T17:47:07.219294Z digest=sha256:6fa93afb21f9babbd6e74af81afb923fa93c78afc6472cceb74acfabd74521b8

Observation 774ac06d-c1f7-4f3e-a3e4-6f6f7f4f8611 · inbound

RankGraph-2: Lifecycle Co-Design for Billion-Node Graph Learning in Recommendation cites this paper.

RankGraph-2: Lifecycle Co-Design for Billion-Node Graph Learning in Recommendation PyG 2.0: Scalable Learning on Real World Graphs

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T11:04:50.167660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:04:50.167660Z digest=sha256:0d0069edb630d660d265cbbc9de4d5b2d06b400e811ace64c8a5f1b51b9196e1

Observation 000e981f-4f77-404d-9486-68dbb0627272 · inbound

Fully Inductive Cardinality Estimation cites this paper.

Fully Inductive Cardinality Estimation PyG 2.0: Scalable Learning on Real World Graphs

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-31T11:38:35.488458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T11:38:35.488458Z digest=sha256:a6d7374dad542b82c02bb7400151323ddb3ebfd13f58818564046417213e455b

Observation 3b7ffa52-3ad2-4dcb-9887-058acc966076 · inbound

Can Graph Learning Learn Circuits? cites this paper.

Can Graph Learning Learn Circuits? PyG 2.0: Scalable Learning on Real World Graphs

Reference 40

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unresolved
no resolver link, observed 2026-08-14T04:37:21.417737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:37:21.417737Z digest=sha256:c71014f6b3c0435fb861b15055a069be687e116ef3e63bfb7d863924073da5e8