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Paper Citation Record · LEDGER

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks

As of 17 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2608.08567.

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

pith.paper-citation-record.v1
2608.08567 v2

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:38:54.577104Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

66 of 66 outbound references displayed

  • verified exact0
  • verified fuzzy38
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e6b37a2f-dc15-48be-98bf-3507f9b8180c · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks The Twelfth International Conference on Learning Representations , year=

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 20d72306-dee1-4b03-85be-28144bdc8d4c · outbound

This paper cites International Conference on Learning Representations , year =.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks International Conference on Learning Representations , year =

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e09e1408-d627-44dc-aff5-e12bfc878a26 · outbound

This paper cites 2025 , eprint=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks 2025 , eprint=

Reference 3

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Source-reported events for the cited work

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Observation 9c92334d-e10b-4e6e-a4fd-9015193e97ad · outbound

This paper cites International Conference on Learning Representations , year=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks International Conference on Learning Representations , year=

Reference 4

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no resolver link, observed 2026-08-14T04:38:53.377360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9a636bcb-9c24-4618-b7f7-43e2413b6d87 · outbound

This paper cites and Ying, Rex and Leskovec, Jure , title =.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks and Ying, Rex and Leskovec, Jure , title =

Reference 5

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no resolver link, observed 2026-08-14T04:38:53.382033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a9d279af-b995-4570-9873-3d3511c37cd6 · outbound

This paper cites Graph Attention Networks.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Graph Attention Networks

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9fe26d58-f5e1-4746-b61b-ab1641b6e345 · outbound

This paper cites Proceedings of the 34th International Conference on Machine Learning , pages =.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Proceedings of the 34th International Conference on Machine Learning , pages =

Reference 7

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no resolver link, observed 2026-08-14T04:38:53.390584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 580391f8-7213-4a5e-aa64-adef7fa4337a · outbound

This paper cites Advances in neural information processing systems , volume=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Advances in neural information processing systems , volume=

Reference 8

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no resolver link, observed 2026-08-14T04:38:53.398400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5c80f416-a43c-45b5-8c28-ace0dfd24ba4 · outbound

This paper cites Advances in neural information processing systems , volume=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Advances in neural information processing systems , volume=

Reference 9

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7b6be2dc-b968-433a-9573-a76d726c97dd · outbound

This paper cites The Third Learning on Graphs Conference , year=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks The Third Learning on Graphs Conference , year=

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2b4623df-a5e2-4357-b8b9-6a52d53b54d8 · outbound

This paper cites Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , pages =.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , pages =

Reference 11

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Observation cb228a57-3836-4947-8d1c-3b90d6fead36 · outbound

This paper cites Proceedings of the ACM web conference 2022 , pages=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Proceedings of the ACM web conference 2022 , pages=

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation cbfef670-a5d6-496b-b899-bc929d488630 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Advances in Neural Information Processing Systems , volume=

Reference 13

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 03e3c5e4-a803-4604-8bda-0ee5708f8bc7 · outbound

This paper cites International conference on learning representations , volume=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks International conference on learning representations , volume=

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:38:53.614443Z digest=sha256:88db1bc40ffb9cdbb59990d8d3eb2cb1628398fe694be61b44c5a7a9f328abb2

Observation 5e41c9c6-8564-4300-9612-9aae24eb87ae · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2024 , pages=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Findings of the Association for Computational Linguistics: EMNLP 2024 , pages=

Reference 15

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:38:53.680624Z digest=sha256:5f4ca74eb4ac403b156463cb3733c9fd22fdcdbf5ac401fb889a17a3fd68c16d

Observation dfa874a8-7182-4c80-8945-d3c7efda428e · outbound

This paper cites The Fourteenth International Conference on Learning Representations , year=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks The Fourteenth International Conference on Learning Representations , year=

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 04ded403-c980-4482-80d0-1e8109d47a88 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Advances in Neural Information Processing Systems , volume=

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 851e75ae-a5b9-4371-b1fb-d5b5039add0d · outbound

This paper cites an unresolved cited work.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Unresolved cited work

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 011e1118-8595-4bae-a75a-531319022c56 · outbound

This paper cites Forty-first International Conference on Machine Learning , year=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Forty-first International Conference on Machine Learning , year=

Reference 19

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 52db87ed-6ee6-44bb-8dfc-f96a420aca75 · outbound

This paper cites 2023 IEEE 39th international conference on data engineering (ICDE) , pages=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks 2023 IEEE 39th international conference on data engineering (ICDE) , pages=

Reference 20

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6cb8a21c-5bc8-40a7-8fdb-823eeba48f4a · outbound

This paper cites Proceedings of the Forty-second International Conference on Machine Learning , year =.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Proceedings of the Forty-second International Conference on Machine Learning , year =

Reference 21

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no resolver link, observed 2026-08-14T04:38:53.736837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:38:53.736837Z digest=sha256:eb625333ae60163761bef4091ec924b7ab54589e0238d0f8814d9c65f02e7960

Observation 5dc7855f-384c-4e53-8f84-4ad66bef4e61 · outbound

This paper cites International conference on machine learning , pages=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks International conference on machine learning , pages=

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8d4be089-f4eb-41c6-ab07-62fe0f150702 · outbound

This paper cites European semantic web conference , pages=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks European semantic web conference , pages=

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:38:53.750385Z digest=sha256:69e633dd6ff7991f962875d29a58a43dba012bfda7d86986bd84ec0b34baab4d

Observation a5c40754-e15f-4c39-9f74-d919683f6422 · outbound

This paper cites Learning Posterior Predictive Distributions for Node Classification from Synthetic Graph Priors.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Learning Posterior Predictive Distributions for Node Classification from Synthetic Graph Priors

Reference 24

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 28b92bde-ecde-4101-ba73-a0326f224bef · outbound

This paper cites Forty-third International Conference on Machine Learning , year=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Forty-third International Conference on Machine Learning , year=

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-14T04:38:56.782747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:38:53.768507Z digest=sha256:23474f111b72336b17ffa95a7dc78c34bc9a4ac0abe975bf929a3bb8a4ba90dc

Observation 088b0a4f-0dfb-4a23-9f61-b2d9aaa179ab · outbound

This paper cites New Perspectives in Graph Machine Learning , year=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks New Perspectives in Graph Machine Learning , year=

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f4351f7c-e240-4b96-b736-3b8aaa978038 · outbound

This paper cites A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 56a80a25-4752-477f-b1ad-fd544a7afe1b · outbound

This paper cites Thirty-seventh Conference on Neural Information Processing Systems , year=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Thirty-seventh Conference on Neural Information Processing Systems , year=

Reference 28

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 494a11a1-1fd9-4983-ae66-476c81449de6 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Advances in Neural Information Processing Systems , volume=

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-14T04:38:56.580609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 51b8ab3c-9f4f-4372-9ac4-268adfb10e30 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Advances in Neural Information Processing Systems , volume=

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-14T04:38:56.565995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation afd9a5b1-e495-4222-80f3-89e947d658d1 · outbound

This paper cites International conference on machine learning , pages=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks International conference on machine learning , pages=

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:38:53.917877Z digest=sha256:a10aab4c739c2aab2dea7b99e5bed2b983b36acdd232005819f2c3f290874fdb

Observation d881b63e-e66b-4c84-8c78-245f6b296ba6 · outbound

This paper cites AnyGraph: Graph Foundation Model in the Wild.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks AnyGraph: Graph Foundation Model in the Wild

Reference 32

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unresolved
no resolver link, observed 2026-08-14T04:38:53.977744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:38:53.977744Z digest=sha256:87f918e5dc9687692f08c7ff3570813fad68225fc64030b79b6fb6eda1eef721

Observation 1390fa1b-442a-4d0f-8663-f26e469dd37e · outbound

This paper cites Forty-Second International Conference on Machine Learning , year=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Forty-Second International Conference on Machine Learning , year=

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-14T04:38:56.540197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:38:53.986744Z digest=sha256:ec658f6f95946fc4d45d197e7dd8118c687dece3b33d5f5eba50cc3d2c3d07e8

Observation c6633142-5f0f-49fb-b448-933c2916a379 · outbound

This paper cites 2024 , eprint=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks 2024 , eprint=

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-14T04:38:56.513379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:38:54.005975Z digest=sha256:ff7af92dd47e7da6a604ac5270b1d46083b5bb01d8d6ee3c88c45dfa98a2f488

Observation 2f3249e7-b3b1-4457-86d7-7505422dcd92 · outbound

This paper cites an unresolved cited work.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Unresolved cited work

Reference 35

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raw_fallback, observed 2026-08-14T04:38:56.451298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:38:54.013193Z digest=sha256:869f9e3739fdec22a0881a8d11ac943ac1e7d9d961c395c0436b08c12a36d4d2

Observation 3503895c-b010-4c1f-90c6-4b4cc8cd846f · outbound

This paper cites Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types

Reference 36

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no resolver link, observed 2026-08-14T04:38:54.022101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:38:54.022101Z digest=sha256:5abf167a3d95d65f74a6d8b762e209e8cbc0b639c847990896b055f08b475a2e

Observation 5409f3c8-e940-4161-a246-b118be34a284 · outbound

This paper cites and Salakhutdinov, Ruslan , title =.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks and Salakhutdinov, Ruslan , title =

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-14T04:38:56.350000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:38:54.031093Z digest=sha256:ba191609d64e4d70b326e49b55df9098a91568fe4431dc182f229da954f5e2b3

Observation c667ba39-4fca-4d39-8aef-5c5675e2835e · outbound

This paper cites ICLR , year=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks ICLR , year=

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-14T04:38:56.268780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:38:54.037946Z digest=sha256:06e777d16725520a0f912a467ece0e13eca36dd4091b73076d06f5625780d5e9

Observation 79428341-36f9-4268-8e53-e3660dec1abd · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks The Twelfth International Conference on Learning Representations , year=

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-14T04:38:56.218802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:38:54.045139Z digest=sha256:32c7eac01db7ba0108962bdd3ecf0ec0c6496af69ee5e81c1330fcf922e8c14b

Observation cbbe7521-255a-4cd6-aca0-2cb78372df98 · outbound

This paper cites DeepWalk: online learning of social representations , url=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks DeepWalk: online learning of social representations , url=

Reference 40

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unresolved
no resolver link, observed 2026-08-14T04:38:54.051790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:38:54.051790Z digest=sha256:bc23b4c1827622754c920dc518e0156e0001f187dd6e34bf3eccfad6f0cc1fc1

Observation 5c6c9653-3361-4a3a-9299-4e91b23e7564 · outbound

This paper cites and Saverese, Pedro H.P.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks and Saverese, Pedro H.P

Reference 41

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no resolver link, observed 2026-08-14T04:38:54.057479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:38:54.057479Z digest=sha256:5445f9f194297c96ae7cd246baaf5788bfc836cfb519d117a1fb9d8e60a23ac4

Observation e0bab8df-8167-4b74-acde-649f9e0bad65 · outbound

This paper cites International Conference on Learning Representations , year=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks International Conference on Learning Representations , year=

Reference 42

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no resolver link, observed 2026-08-14T04:38:54.061417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:38:54.061417Z digest=sha256:c9a3540fe0ba7c8456c0f170f26791b83b916e9b2f22060d77b15f4522ef409b

Observation cec0acc6-adad-4924-a793-b18313ed2155 · outbound

This paper cites and Liu, Juncheng , year=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks and Liu, Juncheng , year=

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-14T04:38:54.068243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:38:54.068243Z digest=sha256:c0145d0549a01b552472e2fcf633742a007fae14c52a88041f863aabcd0375b6

Observation 42098a02-d866-406c-b8d0-5c3ade32d745 · outbound

This paper cites 2021 , eprint=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks 2021 , eprint=

Reference 44

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no resolver link, observed 2026-08-14T04:38:54.138997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:38:54.138997Z digest=sha256:4c8dc5ab1aedeadcaa6f87657d39cdea7c3f29826f76a4eac4b5d5dd1ab20c09

Observation ece01839-0d80-4450-b6db-94077c219a98 · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks The Eleventh International Conference on Learning Representations , year=

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:38:56.090483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:38:54.203837Z digest=sha256:4e196de9cffa7057b943176ec4bed45e6ad4c3331d232ff60577d98d2dfed0e7

Observation 11befa4f-53b4-444f-a5fc-793c1d048130 · outbound

This paper cites 2019 , eprint=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks 2019 , eprint=

Reference 46

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unresolved
no resolver link, observed 2026-08-14T04:38:54.241183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:38:54.241183Z digest=sha256:b080befe57bc4fd31f676d66ffe7b8494c55996e4fb2c52842852f2726d75357

Observation b5ca4e6c-962c-4614-83dc-1d4c2a22bfec · outbound

This paper cites 2019 , eprint=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks 2019 , eprint=

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:38:56.041053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:38:54.245932Z digest=sha256:5702864e0ff15fcc78d00bc4482a852cd2a8b650de3d26a02e0ada5e862bdd9e

Observation cabfe51b-eea7-4c57-b9aa-87de0145b09c · outbound

This paper cites Link Prediction Based on Graph Neural Networks , url =.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Link Prediction Based on Graph Neural Networks , url =

Reference 48

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no resolver link, observed 2026-08-14T04:38:54.250910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:38:54.250910Z digest=sha256:dff2c7d7ad26c6bfad2bc0e70cc0ce5cc2b5dc8635359821d01a09c25752f2d6

Observation 89bf8df5-9a20-4ca0-b56f-0a1a584457fa · outbound

This paper cites , journal =.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks , journal =

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:38:55.968494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:38:54.257380Z digest=sha256:a86928dd8f7773b1b91f010dec41f31c24d8cc48c63b78a0e4d09535b8674745

Observation a02deb1c-a598-465c-9562-fd7973c0afe1 · outbound

This paper cites 2026 , eprint=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks 2026 , eprint=

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:38:55.944088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:38:54.262121Z digest=sha256:75c86268b6a3c372826a36e794682c38fdce3ac9b4124f25ead751e429b76399

Observation 10df0604-f9d8-45f8-8b24-4afd2f6c3757 · outbound

This paper cites The Fourteenth International Conference on Learning Representations , year=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks The Fourteenth International Conference on Learning Representations , year=

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:38:55.904283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:38:54.268758Z digest=sha256:65c9c2ff37664cabbf2aa0c9d504ded5a4724547fc4021679e1af9fbd20102a1

Observation 6f5e103f-28ce-4b4d-9b83-fb241b4b0b0b · outbound

This paper cites The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:38:55.766472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:38:54.273203Z digest=sha256:01fcc5bbdeb6933ca9bd5ba4c9a3e973385ae59a1b5682fe446d01661b167507

Observation 380ef25f-cf83-4abe-9645-50b5d8948ed9 · outbound

This paper cites International Conference on Learning Representations , year=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks International Conference on Learning Representations , year=

Reference 53

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unresolved
no resolver link, observed 2026-08-14T04:38:54.279792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:38:54.279792Z digest=sha256:2c08738768efaf81b92db47d904e0f3b68ae8062f7cb62feae8a8e1b21449f6a

Observation 2740b79f-1747-479e-816c-3182420fc23a · outbound

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

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-14T04:38:54.283876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:38:54.283876Z digest=sha256:f114856df5b60685ff0b995585a5500b15866b8fafc0edd5dbfcb27201372495

Observation 293e418a-e820-43f6-a7c2-548310d3e372 · outbound

This paper cites 2022 , eprint=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks 2022 , eprint=

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:38:55.679509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:38:54.288957Z digest=sha256:1e98ccf5d5813865cc87c0ba66f84db7307b430bc3bff9ec46ab6054e7011faa

Observation 6b6d4e58-88fb-40a8-b597-9f16a68e9475 · outbound

This paper cites Advances in Neural Information Processing Systems , year =.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Advances in Neural Information Processing Systems , year =

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:38:55.638600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:38:54.358135Z digest=sha256:42a9dddb8a39ea2e6287b9821d10345609b1d96c3a5f290c0c168363d82ae79b

Observation 2eeb9fb0-9026-4b89-94d9-f3b76a5aade7 · outbound

This paper cites Observed versus latent features for knowledge base and text inference.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Observed versus latent features for knowledge base and text inference

Reference 57

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unresolved
no resolver link, observed 2026-08-14T04:38:54.379998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:38:54.379998Z digest=sha256:8d2b1c69026b0d9dedad3f33a348f37a1aab9516038686d9111d680b667fc239

Observation 8e8ba860-6574-4942-a9d9-0ea340a234d2 · outbound

This paper cites C o DE x: A C omprehensive K nowledge G raph C ompletion B enchmark.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks C o DE x: A C omprehensive K nowledge G raph C ompletion B enchmark

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-14T04:38:54.449658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:38:54.449658Z digest=sha256:07cfaa183bbd55718ac24bd72906569ed6ad1bd24939de26dcbcab72611e6163

Observation d20561aa-dca3-4511-b878-1219a9a644a6 · outbound

This paper cites an unresolved cited work.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Unresolved cited work

Reference 59

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unresolved
no resolver link, observed 2026-08-14T04:38:54.498429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:38:54.498429Z digest=sha256:2bfac7597aad3149cb912080e5ee8aab93a2081c5748a79bfc012386eba189e6

Observation 020b4439-1132-4c5c-aa6c-a75cd98bd949 · outbound

This paper cites Proceedings of the 37th International Conference on Machine Learning , pages =.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Proceedings of the 37th International Conference on Machine Learning , pages =

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:38:55.540027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:38:54.512397Z digest=sha256:a0aee14111502d0728762ee8703463e091b052919ea98c51b1d79ef8f1508625

Observation 9bf16f32-050c-4ddb-a2a0-eb57532c9ad4 · outbound

This paper cites 2023 , eprint=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks 2023 , eprint=

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:38:55.460583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:38:54.521161Z digest=sha256:7f04f1c4ce52ab504340db82a3b1fa6be880838fb25d4ad1ced5b205ef6a8cb6

Observation 000ae201-d3b2-4eb7-adcd-e14d98723450 · outbound

This paper cites 2023 , editor =.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks 2023 , editor =

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:38:55.437834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:38:54.546045Z digest=sha256:e76fe5ef898250d7a44acd0c7651a9cbf76f54d322de911f007ea7a9cb133e1f

Observation 82a23f85-4f73-468e-8b7a-d9e0771a1136 · outbound

This paper cites 2022 , eprint=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks 2022 , eprint=

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:38:55.286737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:38:54.550706Z digest=sha256:16bdb86b87fca033d89de798d1da68badd2c05fcb5c8632e6404620c15cbdb3a

Observation 19fc3fab-d022-4404-b1fe-9d1b30349a66 · outbound

This paper cites Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence,.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence,

Reference 64

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verified fuzzy
raw_fallback, observed 2026-08-14T04:38:55.218693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:38:54.557335Z digest=sha256:79064bc1af726965dd927158f8529db0fbbfe91779e8a1b9bea2245f1bad44b5

Observation ce698327-8d02-468f-86a8-64b957e76de9 · outbound

This paper cites INDIGO: GNN-Based Inductive Knowledge Graph Completion Using Pair-Wise Encoding , url =.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks INDIGO: GNN-Based Inductive Knowledge Graph Completion Using Pair-Wise Encoding , url =

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:38:55.188723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:38:54.565498Z digest=sha256:a71680a9cea2665fcb47644d3f4b175d40d8342f53db80338a6d577335b0c4a9

Observation c8ffa6c9-b237-4ba4-b2bf-395b823ab733 · outbound

This paper cites Advances in Neural Information Processing Systems , pages=.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Advances in Neural Information Processing Systems , pages=

Reference 66

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unresolved
no resolver link, observed 2026-08-14T04:38:54.577104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:38:54.577104Z digest=sha256:ef58a560e9b6cd6cc4f1b7397f7dabd3b314c142fef473ad8a415832501419c3

Pith citing papers

No inbound Pith citation observations are available.