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Paper Citation Record · LEDGER

Effects of Dropout on Performance in Long-range Graph Learning Tasks

As of 9 August 2026, this Paper Citation Record lists 100 of 106 outbound references and 0 inbound Pith citation observations for arXiv:2502.07364.

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

pith.paper-citation-record.v1
2502.07364 v2

Coverage vector

measured 100 of 106 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:03:14.075053Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 106 outbound references displayed

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  • unresolved35
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0c7e0d31-bdb8-41a1-92fa-d0fa25431412 · outbound

This paper cites Expanders via local edge flips.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Expanders via local edge flips

Reference 1

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Observation 88df94f2-0f03-496a-88d2-9ea1361bdba7 · outbound

This paper cites Alon and V.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Alon and V

Reference 2

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source=pdf_text observed=2026-08-08T13:03:13.734278Z digest=sha256:6dc22a0a3e7ce6a27e4dfca742d2f1e51233a67eacb827a1c80c252de44b4bb8

Observation 8170f85b-2d43-4dcf-9970-c5abb6e7765b · outbound

This paper cites Eigenvalues and expanders.Combinatorica, 6(2):83–96, June 1986.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Eigenvalues and expanders.Combinatorica, 6(2):83–96, June 1986

Reference 3

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Observation e826f601-2597-4db7-a0e8-1425ec14e857 · outbound

This paper cites On the bottleneck of graph neural networks and its practical impli- cations.

Effects of Dropout on Performance in Long-range Graph Learning Tasks On the bottleneck of graph neural networks and its practical impli- cations

Reference 4

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Observation 0e5ec169-8c2c-4e47-b833-5c2c4c3894f8 · outbound

This paper cites Diffwire: Inductive graph rewiring via the lov ´asz bound.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Diffwire: Inductive graph rewiring via the lov ´asz bound

Reference 5

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Observation 49076b12-55a4-4622-9f68-40326b586908 · outbound

This paper cites Banerjee, Kedar Karhadkar, Yu Guang Wang, Uri Alon, and Guido Mont ´ufar.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Banerjee, Kedar Karhadkar, Yu Guang Wang, Uri Alon, and Guido Mont ´ufar

Reference 6

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Observation a0468c87-db11-4091-904e-2c331fb55cdd · outbound

This paper cites Kostylev, Mikael Monet, Jorge P ´erez, Juan Reutter, and Juan Pablo Silva.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Kostylev, Mikael Monet, Jorge P ´erez, Juan Reutter, and Juan Pablo Silva

Reference 7

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Observation 5f3559dc-fb4e-43d4-b36a-abae5d494327 · outbound

This paper cites Understanding oversquash- ing in GNNs through the lens of effective resistance.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Understanding oversquash- ing in GNNs through the lens of effective resistance

Reference 8

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source=pdf_text observed=2026-08-08T13:03:13.755959Z digest=sha256:db24f800edf9d9ea80d2c245f3b43b65272d1d1cbe7fb7ef8b71395cd76e43bb

Observation ba835d9d-8440-4e58-8139-90a2ade0bbcd · outbound

This paper cites Borgwardt, Cheng Soon Ong, Stefan Sch ¨onauer, S.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Borgwardt, Cheng Soon Ong, Stefan Sch ¨onauer, S

Reference 9

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source=pdf_text observed=2026-08-08T13:03:13.759464Z digest=sha256:6e71f65971f5a966c9fbb3e5ca9e0ee205dcefc0ac8a9d1d8778b0d096b44b7c

Observation d9fee766-ab0d-4908-9db1-d3fbed050742 · outbound

This paper cites Chandra, Prabhakar Raghavan, Walter L.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Chandra, Prabhakar Raghavan, Walter L

Reference 10

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Observation 6ba8cd03-62c6-401d-83f2-d025e759f309 · outbound

This paper cites Stochastic training of graph convolutional networks with variance reduction.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Stochastic training of graph convolutional networks with variance reduction

Reference 11

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Observation 38910640-d5f3-4e6b-b074-216089ccfa70 · outbound

This paper cites FastGCN: Fast learning with graph convolutional net- works via importance sampling.

Effects of Dropout on Performance in Long-range Graph Learning Tasks FastGCN: Fast learning with graph convolutional net- works via importance sampling

Reference 12

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Observation 6c3434e6-52e0-4ccd-95b2-f374e2bf3187 · outbound

This paper cites Simple and deep graph convolutional networks.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Simple and deep graph convolutional networks

Reference 13

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Observation efc05dea-591a-4b83-8f6d-d8dc29cd445f · outbound

This paper cites Lawrence Erlbaum Associates, Hillsdale, NJ, 2 edition, 1988.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Lawrence Erlbaum Associates, Hillsdale, NJ, 2 edition, 1988

Reference 14

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Observation 2a041bc4-1f5a-44ab-bc6d-301bbd46bcbf · outbound

This paper cites The flip markov chain for connected regular graphs.Discrete Applied Mathematics, 254:56–79, 2019.

Effects of Dropout on Performance in Long-range Graph Learning Tasks The flip markov chain for connected regular graphs.Discrete Applied Mathematics, 254:56–79, 2019

Reference 15

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Observation 6f66e8d2-9e64-4442-a28c-b8097e4c568b · outbound

This paper cites Expander graph propagation.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Expander graph propagation

Reference 16

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Observation 34a01289-39f4-4b19-bb75-7c1d050c05db · outbound

This paper cites Lopez de Compadre, Gargi Debnath, Alan J.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Lopez de Compadre, Gargi Debnath, Alan J

Reference 17

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Observation 3ed9539e-ac78-49d6-8e28-c79856abfa8d · outbound

This paper cites On over-squashing in message passing neural networks: The impact of width, depth, and topology.

Effects of Dropout on Performance in Long-range Graph Learning Tasks On over-squashing in message passing neural networks: The impact of width, depth, and topology

Reference 18

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Observation 49665bd5-9581-4d16-9afa-e6cf41adb123 · outbound

This paper cites Dobson and Andrew J.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Dobson and Andrew J

Reference 19

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Observation 595efe04-1885-40d6-9aa6-a1b2782cb052 · outbound

This paper cites Long range graph benchmark.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Long range graph benchmark

Reference 20

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Observation 82490da0-307f-404a-bf95-fadb826c9551 · outbound

This paper cites Dropmessage: Unifying random dropping for graph neural networks.Proceedings of the AAAI Conference on Artificial Intelligence, 37(4):4267–4275, Jun.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Dropmessage: Unifying random dropping for graph neural networks.Proceedings of the AAAI Conference on Artificial Intelligence, 37(4):4267–4275, Jun

Reference 21

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Observation efa1bdda-86e5-44f3-932a-bea51b12c3d4 · outbound

This paper cites A local switch markov chain on given degree graphs with application in connectivity of peer-to-peer networks.

Effects of Dropout on Performance in Long-range Graph Learning Tasks A local switch markov chain on given degree graphs with application in connectivity of peer-to-peer networks

Reference 22

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Observation 98cda430-6699-494f-b4a7-1ebf4e110fb0 · outbound

This paper cites Graph random neural networks for semi-supervised learning on graphs.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Graph random neural networks for semi-supervised learning on graphs

Reference 23

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Observation 9a7b01b5-a410-4439-9d20-8eea1c6d2fb9 · outbound

This paper cites an unresolved cited work.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Unresolved cited work

Reference 24

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Observation 6ccf599d-c4e7-4224-b5b9-3bcd48463645 · outbound

This paper cites Rewiring with positional encodings for graph neural networks.Transactions on Machine Learning Research, 2023.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Rewiring with positional encodings for graph neural networks.Transactions on Machine Learning Research, 2023

Reference 25

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Observation 02f57ee4-e330-4970-9413-7f7244b8c627 · outbound

This paper cites Bayesian convolutional neural networks with bernoulli approximate variational inference, 2016.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Bayesian convolutional neural networks with bernoulli approximate variational inference, 2016

Reference 26

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Observation 1934c9f7-f434-4fea-ac94-cb33bb34d2bb · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 27

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 586531b8-a572-4512-be1c-9805c09e5dd4 · outbound

This paper cites A theoretically grounded application of dropout in re- current neural networks.

Effects of Dropout on Performance in Long-range Graph Learning Tasks A theoretically grounded application of dropout in re- current neural networks

Reference 28

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e4741de1-2016-470e-a3d8-b6b0deab7b8b · outbound

This paper cites Large-scale learnable graph convolutional networks.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Large-scale learnable graph convolutional networks

Reference 29

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raw_fallback, observed 2026-08-08T13:03:15.185362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ea7278dd-52b3-468b-ac97-05511778534a · outbound

This paper cites Expanders via local edge flips in quasilinear time.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Expanders via local edge flips in quasilinear time

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-08T13:03:15.174412Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8d11d495-9f9a-4ef6-a9fa-3aedfb32c6d2 · outbound

This paper cites Lee Giles, Kurt D.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Lee Giles, Kurt D

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d30d8503-2971-44ff-8ab1-10635ae81260 · outbound

This paper cites Schoenholz, Patrick F.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Schoenholz, Patrick F

Reference 32

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raw_fallback, observed 2026-08-08T13:03:15.153639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 588f1392-d374-479a-b6b3-3333d639d42d · outbound

This paper cites Konstantin Rusch, Michael Bronstein, Andreea Deac, Marc Lack- enby, Siddhartha Mishra, and Petar Veliˇckovi´c.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Konstantin Rusch, Michael Bronstein, Andreea Deac, Marc Lack- enby, Siddhartha Mishra, and Petar Veliˇckovi´c

Reference 33

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raw_fallback, observed 2026-08-08T13:03:15.142690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 47b08db4-76b5-4d55-be59-f19c0888dcf0 · outbound

This paper cites Giraldo, Konstantinos Skianis, Thierry Bouwmans, and Fragkiskos D.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Giraldo, Konstantinos Skianis, Thierry Bouwmans, and Fragkiskos D

Reference 34

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raw_fallback, observed 2026-08-08T13:03:15.130282Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.850344Z digest=sha256:33817cc66d1e6fa852ab596ac6fa558c2d5084437d87a75dc713e7a7153ed36f

Observation 0fce3bb0-de4f-459d-9e47-0327e09b1095 · outbound

This paper cites DRew: Dynamically rewired message passing with delay.

Effects of Dropout on Performance in Long-range Graph Learning Tasks DRew: Dynamically rewired message passing with delay

Reference 35

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.853580Z digest=sha256:84c4ba590bc936422b17ef711126fba8c6cf684a00fef48d232a8dd53b5101b9

Observation 72b39d0f-b841-48e6-8edf-653609b87d57 · outbound

This paper cites Inductive representation learning on large graphs.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Inductive representation learning on large graphs

Reference 36

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raw_fallback, observed 2026-08-08T13:03:15.104039Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.857184Z digest=sha256:5e49c43fafb3ca09709e19a276ee37b9f02be8283241d000fe1b9bfb94811ab7

Observation 6cb167fd-d05e-473f-ad47-8f01e102c73d · outbound

This paper cites Bayesian graph neural networks with adaptive con- nection sampling, 2020.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Bayesian graph neural networks with adaptive con- nection sampling, 2020

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:15.092175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.860641Z digest=sha256:36b842704adb55a7cf1ee75a07a6874a726566585c13de6da84690d385d47448

Observation f773092b-0fb1-4b68-9fce-5af5772a9d91 · outbound

This paper cites Deep residual learning for image recognition.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Deep residual learning for image recognition

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:15.081572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.863641Z digest=sha256:9ce9c14c53eea3ac2c54ab7162d78af0454b3f6d6a5afaaddc2c100a9361af36

Observation 133df36c-fc1c-47c4-8be4-b3c7213694fa · outbound

This paper cites an unresolved cited work.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:03:15.071747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.866712Z digest=sha256:24a86502c8152fd7575a8b84cd227dd0902723a27a38b81df557092de71cf300

Observation 7296b421-3244-4327-b68a-16183b01ff05 · outbound

This paper cites Open Graph Benchmark: Datasets for Machine Learning on Graphs.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-08T13:03:13.869632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:03:13.869632Z digest=sha256:38d383bcc1e5691dd48f8579a382d728db22a1dee9cdc553d842c38ec3c1573c

Observation db55101f-b34d-47e1-a80f-89fe57e73dcc · outbound

This paper cites Normalization techniques in training dnns: Methodology, analysis and application, 2020.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Normalization techniques in training dnns: Methodology, analysis and application, 2020

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:15.061806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.873000Z digest=sha256:497072873bbf18cd9ae5d188841868ca1185dc8ec7f1102a63dfc8a0b963c6b1

Observation b885bacd-fe84-414f-bbee-b5caeb1d86d9 · outbound

This paper cites ZINC: a free tool to discover chemistry for biology.J Chem Inf Model, 52(7):1757–1768, June 2012.

Effects of Dropout on Performance in Long-range Graph Learning Tasks ZINC: a free tool to discover chemistry for biology.J Chem Inf Model, 52(7):1757–1768, June 2012

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:15.051504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.875891Z digest=sha256:abbb877b55786d65577780bad90348b835c6a5692377ff06055e23b339ee2a83

Observation 39bed991-6436-4957-8da8-7b80b57f766d · outbound

This paper cites Dropagg: Robust graph neural networks via drop aggregation.Neural Networks, 163:65–74, 2023.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Dropagg: Robust graph neural networks via drop aggregation.Neural Networks, 163:65–74, 2023

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:15.040223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.878819Z digest=sha256:1b3695a540822c12d7d17b13ec09608b0695aae835aa548934143efe018eb86b

Observation 541f92a7-99af-4a83-9804-1a41406e44ab · outbound

This paper cites Banerjee, and Guido Montufar.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Banerjee, and Guido Montufar

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:15.029509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.882046Z digest=sha256:3a6e126bd8eb09e585850d3ebbdeb0aecd38cedd90296d4a749b7ed2c1128e17

Observation da1d1ec7-fe5a-404b-93cb-288bae01b1f1 · outbound

This paper cites Deep learning without poor local minima.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Deep learning without poor local minima

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:15.018803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.885048Z digest=sha256:08982f82b557cb4e223a8743399c2d1d489f8d0915e0706a598d35a716355728

Observation e4c29238-74d9-49db-b2b8-c80c7f65cc5e · outbound

This paper cites Adam: A method for stochastic optimization.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Adam: A method for stochastic optimization

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:15.007726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.887933Z digest=sha256:8ab0112b18757e9a4444bb073d25214e399db0744859f731379735f2f5c0ad52

Observation 46d2dc96-20bb-4a0f-8988-feaabb985236 · outbound

This paper cites Kipf and Max Welling.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Kipf and Max Welling

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.996638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.891352Z digest=sha256:812c4fd9385a2e906e65fb722ca214ac38f516a478550cd455b4007e47eb22c0

Observation 5897ba15-a7e1-4366-aee6-e2a312e88ba6 · outbound

This paper cites Howard, Wayne Hubbard, and Lawrence Jackel.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Howard, Wayne Hubbard, and Lawrence Jackel

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.986843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.894984Z digest=sha256:57d4ed820719d3820caa54f13164e1606018dd466923a39e0a6cc92bb8ce12c3

Observation b4f94e56-ea32-4ed0-890e-bf8fdc7940d6 · outbound

This paper cites Deepgcns: Can gcns go as deep as cnns? In2019 IEEE/CVF International Conference on Computer Vision (ICCV), pp.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Deepgcns: Can gcns go as deep as cnns? In2019 IEEE/CVF International Conference on Computer Vision (ICCV), pp

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.976624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.898450Z digest=sha256:ea4acc1acb8aad9226d63e5ceb334715fefbd8bcf9e473226c784c0c050aa58e

Observation 1f600a8a-0d6b-410d-8455-96008017761f · outbound

This paper cites Deeper insights into graph convolutional networks for semi-supervised learning.Proceedings of the AAAI Conference on Artificial Intelligence, 32(1), 04 2018.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Deeper insights into graph convolutional networks for semi-supervised learning.Proceedings of the AAAI Conference on Artificial Intelligence, 32(1), 04 2018

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.966479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.902102Z digest=sha256:cdae5f68f34b49f315a5a69b70a92552570c020f82eca5360e841ca897dc2bc4

Observation e87d5edf-286e-4bd9-aaa3-9956f2447348 · outbound

This paper cites an unresolved cited work.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:03:14.956006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.905659Z digest=sha256:4e737b9679d4b7a2e4c0b57db77cbf104bc29992b481fbcd5bd948cd80d32989

Observation 05ae836f-bf1d-46df-b62c-a1ee9a4302c0 · outbound

This paper cites New Benchmarks for Learning on Non-Homophilous Graphs.

Effects of Dropout on Performance in Long-range Graph Learning Tasks New Benchmarks for Learning on Non-Homophilous Graphs

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-08T13:03:14.282742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.909434Z digest=sha256:53ef69eb932ef3798f968edf85c2082ed16cac021fd5e72bbd3b78b8afc7e78d

Observation 8f362d25-7d42-4143-88e3-711091385bc3 · outbound

This paper cites Towards deeper graph neural networks.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Towards deeper graph neural networks

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.945277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.913352Z digest=sha256:95e00e4567282dbc461060d7a9ebd6a72c7f15ad7dce68c06746d112dd06a9b8

Observation c90c85aa-5c45-47ba-9370-28da6194422a · outbound

This paper cites Curvdrop: A ricci curvature based approach to prevent graph neural networks from over- smoothing and over-squashing.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Curvdrop: A ricci curvature based approach to prevent graph neural networks from over- smoothing and over-squashing

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.934063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.916992Z digest=sha256:edf7b4fe9d6d62566a60d0020d09333b90231a65464f1302f5419148f976a1d9

Observation cace7c0f-6b54-466b-baee-14f67728606a · outbound

This paper cites Lov ´asz.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Lov ´asz

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.825001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.920556Z digest=sha256:7531c6bf236133cf43bd1d4d424c7422c0c2b796513d287c450b9dfc84100ceb

Observation 7ab24084-6960-4544-b45b-af1a72df0f23 · outbound

This paper cites Peer-to-peer networks based on random trans- formations of connected regular undirected graphs.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Peer-to-peer networks based on random trans- formations of connected regular undirected graphs

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.815532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.924005Z digest=sha256:b86d80c0e340ecfe4d997fb709931b5053ba96c1737febba2ff49e5dbd09d33a

Observation 7eb42eea-8e26-4eee-a057-6544036427db · outbound

This paper cites Automating the construction of internet portals with machine learning.Information Retrieval, 3(2):127– 163, 07 2000.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Automating the construction of internet portals with machine learning.Information Retrieval, 3(2):127– 163, 07 2000

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.804912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.927420Z digest=sha256:43d5c065de749e04b2490e28ea73ff6cefa32932888bb9a06eb1a0c1118b2454

Observation df81117f-8e8f-468a-a2f2-a270cf1211dc · outbound

This paper cites Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-08T13:03:13.930965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:03:13.930965Z digest=sha256:868d962d2b3c7fe14a9c5eba473852bc244c1d203faf8fade972ddcbe2a4f8e9

Observation 33cdda56-9c5d-489d-9d1d-7cc1cdcdb6f2 · outbound

This paper cites Smith, Mateusz Paprocki, Ond ˇrej ˇCert´ık, Sergey B.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Smith, Mateusz Paprocki, Ond ˇrej ˇCert´ık, Sergey B

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.793212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.934834Z digest=sha256:366f3a27cd21650bf8f0dc2cf3b3193d8fae4c33314620cfa0ec9b777b659a0a

Observation 7be8b68b-fb0d-4d9e-a8e7-5570c1431cc9 · outbound

This paper cites Geometric matrix completion with recurrent multi-graph neural networks.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Geometric matrix completion with recurrent multi-graph neural networks

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.781895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.938667Z digest=sha256:0651b2e3c5fdc536ada2eebebf9203d0fde3bd3c4ee87522de03225aa474df02

Observation a1c72ac2-9781-454f-b0a4-57ee5406bb98 · outbound

This paper cites Kriege, Franka Bause, Kristian Kersting, Petra Mutzel, and Mar- ion Neumann.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Kriege, Franka Bause, Kristian Kersting, Petra Mutzel, and Mar- ion Neumann

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.770426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.942144Z digest=sha256:3b05ec1c212ef17f43e3bba4d6131a0df4031dd59fe83d3766f067a670e50e66

Observation 86b65b6a-0700-42a5-afbd-a3de14499dcd · outbound

This paper cites Query-driven active sur- veying for collective classification.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Query-driven active sur- veying for collective classification

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.759192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.945569Z digest=sha256:8687eadc96c56c621e96510edd84eb66d1339d64d54dcbdea81c9a778590beff

Observation 4a7248bb-21d8-4327-9694-6fc8c7149028 · outbound

This paper cites Revis- iting over-smoothing and over-squashing using ollivier-ricci curvature.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Revis- iting over-smoothing and over-squashing using ollivier-ricci curvature

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.748415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.949050Z digest=sha256:381c4192471c01ab59b795237a69cf955107267dfcaf67320b5e5fc0b737e3de

Observation f96609b9-9fa9-422d-b583-41ffe4723fdf · outbound

This paper cites Graph neural networks exponentially lose expressive power for node classification.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Graph neural networks exponentially lose expressive power for node classification

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-08T13:03:13.952539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:03:13.952539Z digest=sha256:626b24dc5fcb51055663be0c1ff381cff7f795649b480c0df422e95998fd134d

Observation 9de6900c-84da-4acc-bbcf-d1414d7fb98b · outbound

This paper cites Dropgnn: Random dropouts increase the expressiveness of graph neural networks.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Dropgnn: Random dropouts increase the expressiveness of graph neural networks

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.730635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.956236Z digest=sha256:419b44137f469352ff33cd67146f217fbd456a9a0e0a1615cc38452fcc614157

Observation 0ec25178-ff0b-4063-bbc2-839cdb1a553c · outbound

This paper cites Geom-gcn: Geometric graph convolutional networks.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Geom-gcn: Geometric graph convolutional networks

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.719330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.959880Z digest=sha256:6f53ffa213e6df259c6306e0566ca3ffe3a66d6d40078addaf4ea1a8702be59f

Observation 26c2aeed-0b74-4ca3-ad67-ecb2dc0c07f5 · outbound

This paper cites Probabilistically rewired message-passing neural networks.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Probabilistically rewired message-passing neural networks

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.707516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.963365Z digest=sha256:5ee667d6d6634fe6b2e3934e2f677667943b2e030cf517fd487b6ff601b1afd9

Observation acdbe257-1739-4219-b3a5-af1e22c4292d · outbound

This paper cites Dropedge: Towards deep graph convolutional networks on node classification.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Dropedge: Towards deep graph convolutional networks on node classification

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.696822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.967258Z digest=sha256:ae87ecf9559d9f1b443b4de8758fcf98993495ebdb2fd753bdc6a901c74eecd3

Observation 10974faa-5deb-4731-afe8-b91689aeebc8 · outbound

This paper cites Multi-Scale Attributed Node Embedding.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Multi-Scale Attributed Node Embedding

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.685586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.970552Z digest=sha256:19f9a36cad789cf68eeecc89e7edff5d90f7b96c4b087e70fbc3f2f1e74f874e

Observation b213b4cc-d892-47ec-8875-b684809c6f44 · outbound

This paper cites Konstantin Rusch, Michael M.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Konstantin Rusch, Michael M

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.674863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.973848Z digest=sha256:b2a6f4ed7dd3cc6d32efbdf8bdf403df15de7da673958d2ca1a19ddb1d858a81

Observation a77d7e91-04ff-432e-9591-ef72ea3095d5 · outbound

This paper cites The graph neural network model.IEEE Transactions on Neural Networks, 20(1):61–80, 2009.

Effects of Dropout on Performance in Long-range Graph Learning Tasks The graph neural network model.IEEE Transactions on Neural Networks, 20(1):61–80, 2009

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.664493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.977275Z digest=sha256:eedd733d4730d30b767b1a8e6ea4197d6f4fdbdb2762cacdb68392454888f472

Observation 7075d459-9e2d-40bd-ab18-1c29694df074 · outbound

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

Effects of Dropout on Performance in Long-range Graph Learning Tasks Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-08T13:03:13.980749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:03:13.980749Z digest=sha256:d673c3ba672ff49085e28f791d5e56facda9f6096ed9d7ba27c3020e73048856

Observation 2ba68779-29e1-4d24-a907-76dec133dd29 · outbound

This paper cites BRENDA, the enzyme database: updates and major new developments.Nucleic Acids Res, 32(Database issue):D431–3, January 2004.

Effects of Dropout on Performance in Long-range Graph Learning Tasks BRENDA, the enzyme database: updates and major new developments.Nucleic Acids Res, 32(Database issue):D431–3, January 2004

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.647847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.984169Z digest=sha256:c2f9f86f94dd4d871b1a5fa1b8580dfd26b34daf996fef5abbbe0c511b7f4469

Observation 0cae4464-5567-40c2-acc9-b416751e7431 · outbound

This paper cites an unresolved cited work.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:03:14.638090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.987583Z digest=sha256:93236d77f1fbabd0521f3c1c3a0e1b55e51292024cdca63b567cfa5c63f8bfb0

Observation 358ac192-1715-4d52-a2fd-7b227a2db2b2 · outbound

This paper cites Pitfalls of graph neural network evaluation.Relational Representation Learning Workshop, NeurIPS 2018, 2018.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Pitfalls of graph neural network evaluation.Relational Representation Learning Workshop, NeurIPS 2018, 2018

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.628073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.991043Z digest=sha256:18fa39623f21fb25a6e4d5b0747b128b529caead20dd08afb381d78b345b5e45

Observation 6e725c17-5a37-41af-9c66-090285b1f50e · outbound

This paper cites Approximate counting, uniform generation and rapidly mixing markov chains.Information and Computation, 82(1):93–133, 1989.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Approximate counting, uniform generation and rapidly mixing markov chains.Information and Computation, 82(1):93–133, 1989

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.617942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.994799Z digest=sha256:a9e88bbe0b1761bf37debe51e2aaac12d82ad857870db879a7b61368e997dc09

Observation e53c205d-89ab-4e57-8cd9-05c7b456f5de · outbound

This paper cites Dropout: A simple way to prevent neural networks from overfitting.Journal of Machine Learning Research, 15(56):1929–1958, 2014.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Dropout: A simple way to prevent neural networks from overfitting.Journal of Machine Learning Research, 15(56):1929–1958, 2014

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.606979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:13.997729Z digest=sha256:dbc531a9c4947052d93783f8ef2d6224df67255c7ac349d182d9b1ee6391379a

Observation a533e815-7cf6-4269-a5ac-c7ef688c5a04 · outbound

This paper cites Going deeper with convolutions.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Going deeper with convolutions

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.595957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:14.000817Z digest=sha256:2079b35cf1bcad7ef0ba7ecf100da1cbbafade4515fa6da29a4d849ae3d3124f

Observation f82d721e-9ea2-4b2a-9524-8abd5c96c610 · outbound

This paper cites Bronstein.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Bronstein

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.584746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:14.003829Z digest=sha256:c698c7f40eec3d278a811a78142423a8dcc0bff8e5b8e41d6dc3b3049c434156

Observation b4ac3041-803e-46a2-972c-e429871b148b · outbound

This paper cites Attention is all you need.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Attention is all you need

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.572248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:14.006663Z digest=sha256:4df0c9b5d3f709b40885a23e9273b7e7e0457e61f138bc5c1cf3d2891e054638

Observation 2745a69a-373a-4e79-bac4-b5b1c8c99f7a · outbound

This paper cites Graph attention networks.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Graph attention networks

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.561586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:14.009522Z digest=sha256:f83d5d1618a0fe00abea1e06b2bdf8442d6c1995b9e8b64acc9b0dea21872713

Observation 977fb9e4-1c9b-4513-b20f-9acf4792d065 · outbound

This paper cites Comparison of descriptor spaces for chemical compound retrieval and classification.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Comparison of descriptor spaces for chemical compound retrieval and classification

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.551190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:14.012227Z digest=sha256:656c44278c1673c41ba996696e6d9de2fc4977a372557f52c228dcc33f4927a7

Observation 76306656-d1bc-4e28-a411-bb254adf5ffd · outbound

This paper cites Representing long-range context for graph neural networks with global attention.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Representing long-range context for graph neural networks with global attention

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.539871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:14.015375Z digest=sha256:802094bc2baecee62d64a2618c108f3f485ba7a73853680349037861e9c7d50c

Observation 00ebea97-f8e4-4cc8-8599-7341bb93c82d · outbound

This paper cites Representation learning on graphs with jumping knowledge networks.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Representation learning on graphs with jumping knowledge networks

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.528931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:14.019165Z digest=sha256:f4a7447ccbc58de7f88d8c15fa4c4e33bd26734dd313ad9fedd9646091bb9c1e

Observation f05b4aca-0e8a-4f37-8c26-f9a9fe745a1b · outbound

This paper cites How powerful are graph neural networks?, 2019.

Effects of Dropout on Performance in Long-range Graph Learning Tasks How powerful are graph neural networks?, 2019

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-08T13:03:14.022733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:03:14.022733Z digest=sha256:a70e2a9f3406f323d6d6c7649b069c3a13cd4be4da5ecbd1d57d034cfb04de97

Observation 46d726d0-7865-4977-bd05-51b7af24513f · outbound

This paper cites Shedding light on random dropping and oversmoothing.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Shedding light on random dropping and oversmoothing

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.511155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:14.025674Z digest=sha256:09fc6dd13114c6ef528c78fd2de66475221b17c988f3ebbcda1484d910bd52d8

Observation 00e64fa6-8c3c-4ba9-92d3-a29643030005 · outbound

This paper cites Vishwanathan.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Vishwanathan

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.500234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:14.029236Z digest=sha256:b748324ac7501aaa91f82c33c140a3a23890cf54eea5a5f755aac69fd3744c41

Observation f5d5a16d-5e7c-4cf8-83af-4fe239d1b16e · outbound

This paper cites Hamilton, and Jure Leskovec.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Hamilton, and Jure Leskovec

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.490753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:14.032600Z digest=sha256:7c2046e91add8274eb0cf029acf6cddbaa2bdc12290352173b4dfacac19d78a8

Observation 0357e83f-eec0-4c30-a57c-88ade52134ad · outbound

This paper cites Graph contrastive learning with augmentations.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Graph contrastive learning with augmentations

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.481146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:14.036042Z digest=sha256:854ee37e581b0e718b8fe866fdb7a7b7873824dc411a098bdecab19ffa4b1953

Observation f368c38e-5c94-43d3-bb3e-7404354ef96b · outbound

This paper cites an unresolved cited work.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Unresolved cited work

Reference 90

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:03:14.470908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:14.039463Z digest=sha256:a13162e0097a2056371f240718d6818ddc8780acb3347215b6b9f0cb585258b4

Observation 8cd29040-159d-4074-85d3-22da4a2bcf52 · outbound

This paper cites L2-gcn: Layer-wise and learned efficient training of graph convolutional networks.

Effects of Dropout on Performance in Long-range Graph Learning Tasks L2-gcn: Layer-wise and learned efficient training of graph convolutional networks

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.461863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:14.042770Z digest=sha256:241e86d04cda8ea14859d16a348ee9010aa6378a1226e55ac7a7a8af4c6eecd4

Observation 783cbae3-2f50-44ae-8752-305bf1e086e9 · outbound

This paper cites Bringing your own view: Graph contrastive learning without prefabricated data augmentations.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Bringing your own view: Graph contrastive learning without prefabricated data augmentations

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.451629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:14.046577Z digest=sha256:c0c5471469d1f5d5e7af3b7ba654559ca44e5395f847727ef04f238572ca014a

Observation ff882283-c9a1-4574-a861-b53a983705b2 · outbound

This paper cites Pairnorm: Tackling oversmoothing in gnns.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Pairnorm: Tackling oversmoothing in gnns

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.440944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:14.049817Z digest=sha256:be118574bf100abd423d55c308507500284b1717af49733fa6dec1a4d9105169

Observation ade2e00b-394b-4240-bcd5-86a7ca5f361d · outbound

This paper cites Cold brew: Distilling graph node representations with incomplete or missing neighborhoods.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Cold brew: Distilling graph node representations with incomplete or missing neighborhoods

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.429972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:14.053266Z digest=sha256:65465b926264def42df699f8c3724c07f04fea62fac492f883a8a2a51ef4dcbf

Observation 78180ab3-68c2-4598-9ec1-a9a06baa797f · outbound

This paper cites Towards deeper graph neural networks with differentiable group normalization.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Towards deeper graph neural networks with differentiable group normalization

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.418858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:14.056919Z digest=sha256:506137d2194197b2970fe56a260faa52cda26f8a08c1e3ec70cb9023c9f2d480

Observation 6d200959-e417-41b6-b02f-7acc337f8497 · outbound

This paper cites Dirichlet energy constrained learning for deep graph neural networks.Advances in neural information processing systems, 2021.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Dirichlet energy constrained learning for deep graph neural networks.Advances in neural information processing systems, 2021

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.407418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:14.060555Z digest=sha256:fa22c0541f9f401809bbd7db32c654555ed945eeb56fa8bed639058b96c3d0f4

Observation 80d3b724-61d6-4481-909e-b46975e131fd · outbound

This paper cites Understanding and resolving performance degradation in deep graph convolutional net- works.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Understanding and resolving performance degradation in deep graph convolutional net- works

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.395901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:14.064012Z digest=sha256:fb63d734aacfb87f0a2ff0f8d52032ca301947cc0f79b4224b0b33c0b922bbbe

Observation c722164b-de5f-4e90-bd16-0037620db257 · outbound

This paper cites Beyond homophily in graph neural networks: Current limitations and effective designs.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Beyond homophily in graph neural networks: Current limitations and effective designs

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.384451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:14.067489Z digest=sha256:35300efdaca02b12d67d6606ea17775c485beb8350de491ab92ade4a74e0b1b8

Observation 609b06c4-b5da-4a10-be98-5f01d3bedb45 · outbound

This paper cites Predicting multicellular function through multi-layer tissue networks.Bioinformatics, 33(14):i190–i198, 07 2017.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Predicting multicellular function through multi-layer tissue networks.Bioinformatics, 33(14):i190–i198, 07 2017

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.373470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:14.070928Z digest=sha256:48066d8fdd591d2c22fecbe5a3e707af593e58c7ab895ffc0e8d7c8b579130c7

Observation 8702b417-25a4-4b44-a714-122943554b8d · outbound

This paper cites These meth- ods successfully addressed the over-smoothing problem, enabling the training of deep GNNs, and performed competitively on several benchmarking datasets.

Effects of Dropout on Performance in Long-range Graph Learning Tasks These meth- ods successfully addressed the over-smoothing problem, enabling the training of deep GNNs, and performed competitively on several benchmarking datasets

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:03:14.362290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T13:03:14.075053Z digest=sha256:29eb86ca9d241017e04aa7c928819ae5b9ccd34d32cf847557f1bc2c0caa04ea

Pith citing papers

No inbound Pith citation observations are available.