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Paper Citation Record · LEDGER

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors

As of 21 August 2026, this Paper Citation Record lists 100 of 299 outbound references and 0 inbound Pith citation observations for arXiv:2607.28525.

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

pith.paper-citation-record.v1
2607.28525 v1

Coverage vector

measured 100 of 299 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T04:39:47.134036Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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 299 outbound references displayed

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  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 17da8fe1-e4ec-43d7-ac6d-4ee4a61c5581 · outbound

This paper cites AAAI , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors AAAI , volume=

Reference 1

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source=arxiv_source observed=2026-07-31T04:39:46.687489Z digest=sha256:b84888102945d8f73cdadc3a65bd0f43475f9c644148739a97e8bc79ed99b31e

Observation a42a171a-0055-4157-96ab-815cde48984b · outbound

This paper cites Topological Methods in Machine Learning: A Tutorial for Practitioners.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Topological Methods in Machine Learning: A Tutorial for Practitioners

Reference 2

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source=arxiv_source observed=2026-07-31T04:39:46.692358Z digest=sha256:31e126376b57d570e9121da9ef3187cb7067fb04fcfc55cafc833123d67f9c88

Observation 157695bf-5815-4701-8b31-f18563cc890f · outbound

This paper cites 2008 , publisher=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors 2008 , publisher=

Reference 3

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source=arxiv_source observed=2026-07-31T04:39:46.697303Z digest=sha256:3d258fa76669b294077950906fe1d16788a4bb25f5d978fc25a6a5c67364fb3f

Observation 0fb3cb23-9f7f-42e1-bc19-f2910a3f1457 · outbound

This paper cites The Web Conference , pages=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors The Web Conference , pages=

Reference 4

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source=arxiv_source observed=2026-07-31T04:39:46.702252Z digest=sha256:36a281425a94d5f9eaa3d0bac993e4161af1c254d06c71c0b91f16a99eceb14f

Observation 2c5c0cec-e94f-4dca-8254-93be1e77d260 · outbound

This paper cites NeurIPS , year=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors NeurIPS , year=

Reference 5

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source=arxiv_source observed=2026-07-31T04:39:46.706993Z digest=sha256:143a30c4e9f0d6ba4c5f3b2da3d270b8a0c36566f58e0cbff1097057b9e8981a

Observation c8c2195b-7e6d-4fff-adad-645f1cfc1933 · outbound

This paper cites Physica A: Statistical Mechanics and its Applications , volume =.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Physica A: Statistical Mechanics and its Applications , volume =

Reference 6

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source=arxiv_source observed=2026-07-31T04:39:46.711199Z digest=sha256:9c424bda3670dff46a274a832659762e99b757370f2063bdc1fedbd7f5bfbcaa

Observation 41144836-27bf-41ee-84f0-d86f9cd2f607 · outbound

This paper cites TMLR , year=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors TMLR , year=

Reference 7

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source=arxiv_source observed=2026-07-31T04:39:46.715598Z digest=sha256:d5abee09572e4ca0ff00aeebfdf147470cc9d2ae4988b6c2796cd9ae83f91adb

Observation d91e4cb5-d75b-4fb1-be9a-072538b55713 · outbound

This paper cites NeurIPS , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors NeurIPS , volume=

Reference 8

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source=arxiv_source observed=2026-07-31T04:39:46.719899Z digest=sha256:5d2437be0470020494cb7a8e07c30c9c6c13c3788396b70d8bf003567c8cb5e0

Observation f7a8fa62-f358-436a-9801-d4f38261245b · outbound

This paper cites Proceedings of the 31st ACM International Conference on Information & Knowledge Management , pages=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Proceedings of the 31st ACM International Conference on Information & Knowledge Management , pages=

Reference 9

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source=arxiv_source observed=2026-07-31T04:39:46.724673Z digest=sha256:37e2a97c3ea426f84dc20ae7821d6897665205984a984b0c30a280550eff2699

Observation 94262bd3-5fb1-4df0-ae7f-40dd09dac90c · outbound

This paper cites Localized Contrastive Learning on Graphs.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Localized Contrastive Learning on Graphs

Reference 10

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source=arxiv_source observed=2026-07-31T04:39:46.729262Z digest=sha256:2969ea5afe4390cd6a9f127ccb1dbea5fe3cf282dd5af14619357dd4543437a3

Observation b2429571-eb28-4d99-97f9-0f20071638a0 · outbound

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

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors International Conference on Learning Representations , year=

Reference 11

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source=arxiv_source observed=2026-07-31T04:39:46.733520Z digest=sha256:518e678aad494fc5e41de8922cc94ac0aa905e8fdf7a9c71146c1d5db514853c

Observation 54da0924-2491-4105-8415-fe39afbd9a80 · outbound

This paper cites NeurIPS , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors NeurIPS , volume=

Reference 12

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source=arxiv_source observed=2026-07-31T04:39:46.737279Z digest=sha256:8dc70eeecc934662e15f524cc722feac6676b0fa5abea59b0ea759200589542f

Observation 4e3ea194-8843-4706-b953-1c9a95c3a653 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering , year=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors IEEE Transactions on Knowledge and Data Engineering , year=

Reference 13

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source=arxiv_source observed=2026-07-31T04:39:46.741473Z digest=sha256:25dd976169d6971a78dd8db1a4e70c0618173157267ef3042f53a4e183a91d0f

Observation a50851ef-e7cb-4172-ba96-1ce38000570d · outbound

This paper cites AAAI , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors AAAI , volume=

Reference 14

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source=arxiv_source observed=2026-07-31T04:39:46.745709Z digest=sha256:2442c9bac793eb193d10bbd16f6d3c5913b461397c108df068221f6caa1dac61

Observation bc23b385-6cdd-4176-9bc7-4298ecd5a2c2 · outbound

This paper cites IEEE Data Engineering Bulletin , year=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors IEEE Data Engineering Bulletin , year=

Reference 15

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source=arxiv_source observed=2026-07-31T04:39:46.750218Z digest=sha256:4f4f6fd45bfc82e9452a9bd0dfd0cd469f8045f439c38ea074e920dd273c895e

Observation 9eeffa7d-b2cd-421b-b584-c318bbdea59c · outbound

This paper cites NeurIPS , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors NeurIPS , volume=

Reference 16

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source=arxiv_source observed=2026-07-31T04:39:46.754609Z digest=sha256:85be197ad5af6385417c883737ba905ddfe799e3b2f08fddd1d13468d410a03e

Observation 514a1144-ade6-48fa-895f-8db994ead1c0 · outbound

This paper cites Learning on Graphs Conference , pages=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Learning on Graphs Conference , pages=

Reference 17

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source=arxiv_source observed=2026-07-31T04:39:46.758714Z digest=sha256:8260d4d3c45e73014fe5a1e4f1f26b7f396b1bbb14b878f9a5a01c986c80cafb

Observation 9c83b3e3-0684-4547-b3cf-cbe722fca380 · outbound

This paper cites NeurIPS , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors NeurIPS , volume=

Reference 18

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source=arxiv_source observed=2026-07-31T04:39:46.763559Z digest=sha256:150eb08d19f4e618eae164f14afbd6ae1a8b66fbbe45d9162e23581cbddf3c37

Observation f9697ddb-23d9-4521-ae45-b5b2c60cdde9 · outbound

This paper cites ACM Transactions on Intelligent Systems and Technology (TIST) , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors ACM Transactions on Intelligent Systems and Technology (TIST) , volume=

Reference 19

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source=arxiv_source observed=2026-07-31T04:39:46.767740Z digest=sha256:2e6a5d7ae5143cfc6973be553311cba6b368c5fcfab1529fa09753fd091d58b5

Observation 2df5df3a-4905-433b-83c5-5226c074c709 · outbound

This paper cites NeurIPS , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors NeurIPS , volume=

Reference 20

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source=arxiv_source observed=2026-07-31T04:39:46.772451Z digest=sha256:4f89a84bcf2864f93810eb95e3504a4f4c760a5d87ee793f133ef1e818d67ae3

Observation 2ddc3bef-550c-49ee-8487-220bd468dfa4 · outbound

This paper cites NeurIPS , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors NeurIPS , volume=

Reference 21

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source=arxiv_source observed=2026-07-31T04:39:46.777126Z digest=sha256:e2993abc696ec5a5d25dd5016950a2616b3f8abc569f96b8abf0b602b77df96f

Observation de3a92c7-ba14-46ea-b75d-b5b9b2fb1e03 · outbound

This paper cites Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , pages=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , pages=

Reference 22

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source=arxiv_source observed=2026-07-31T04:39:46.781534Z digest=sha256:9b57f4a9603074cd7b45edec59ee5540b82959dac8a7924b336745c5073b5a14

Observation 7c0cb121-b7fb-47bc-8810-b567b92fd89e · outbound

This paper cites Proceedings of the ACM Web Conference 2022 , pages=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Proceedings of the ACM Web Conference 2022 , pages=

Reference 23

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source=arxiv_source observed=2026-07-31T04:39:46.785700Z digest=sha256:4801089bd5b43624d3a10de543163f8bd1a774e8404a026ef1cff3434e9637b4

Observation 60d1667d-c527-418b-bf46-aeb30d4e1128 · outbound

This paper cites 2022 IEEE International Conference on Data Mining (ICDM) , pages=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors 2022 IEEE International Conference on Data Mining (ICDM) , pages=

Reference 24

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source=arxiv_source observed=2026-07-31T04:39:46.789780Z digest=sha256:78706814da63620005ba7ed67519378bca8b95ba92eb64c13db69ff1392d938b

Observation 9fe85e6b-6811-44ed-85ce-65f88a6689fe · outbound

This paper cites , author=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors , author=

Reference 25

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source=arxiv_source observed=2026-07-31T04:39:46.794764Z digest=sha256:03c077d48994aa28f14bd6bd0def3f13a276073aadcf258c15f9b28dfcd5a982

Observation a1712f7e-3459-4cc9-9cb9-bb5f4311628c · outbound

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

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Forty-first International Conference on Machine Learning , year=

Reference 26

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source=arxiv_source observed=2026-07-31T04:39:46.799040Z digest=sha256:1441f500077d056890736a1b3792b7a8bb6026317a3362a59c474e5a3bd965c5

Observation 39d11c92-a4ed-489d-bf71-43d12d0a1ea8 · outbound

This paper cites an unresolved cited work.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Unresolved cited work

Reference 27

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source=arxiv_source observed=2026-07-31T04:39:46.803065Z digest=sha256:e23123deb1352add502ecbec4d6a3888c6d30782c3c88893770a0ac7b7620d44

Observation 7471754d-f548-444d-aa56-36036a415c41 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , year=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors IEEE Transactions on Pattern Analysis and Machine Intelligence , year=

Reference 28

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source=arxiv_source observed=2026-07-31T04:39:46.807123Z digest=sha256:4265685651ce71e5a1cd710b85823c38828b20cafcbd9115c082261c88eb4e9f

Observation afdca29f-3a5d-4242-b420-3f8b3d59c62c · outbound

This paper cites Proceedings of the 32nd ACM International Conference on Information and Knowledge Management , pages=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Proceedings of the 32nd ACM International Conference on Information and Knowledge Management , pages=

Reference 29

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Observation 6a924852-8605-404e-8d32-c19765a81902 · outbound

This paper cites The Eighth International Conference on Learning Representations (ICLR 2020), Addis Ababa , year=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors The Eighth International Conference on Learning Representations (ICLR 2020), Addis Ababa , year=

Reference 30

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source=arxiv_source observed=2026-07-31T04:39:46.815523Z digest=sha256:a789038dd5c7faae6a5a1ce5831ec74e4a4d42f643e5964e3c7de8eb2e62b967

Observation f28259fc-7e44-459e-942f-ea65c1d86c7e · outbound

This paper cites Adaptive Universal Generalized PageRank Graph Neural Network.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Adaptive Universal Generalized PageRank Graph Neural Network

Reference 31

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source=arxiv_source observed=2026-07-31T04:39:46.819692Z digest=sha256:9fed67dc56eb11c81f587e2fbcff959b77aacb4931730c732853a0b85cfb7b43

Observation e758cec7-8760-4076-a9a5-013c735968f9 · outbound

This paper cites AAAI , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors AAAI , volume=

Reference 32

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source=arxiv_source observed=2026-07-31T04:39:46.824184Z digest=sha256:8a3b0dcbfe669f7d1e9c92599abcee1648db5e259c9b6e44405ea6f36879a8b8

Observation 2b88f974-e1c7-44e2-83a7-64061c4134e6 · outbound

This paper cites NeurIPS , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors NeurIPS , volume=

Reference 33

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source=arxiv_source observed=2026-07-31T04:39:46.828440Z digest=sha256:3c100789dbb23b9c4921d0c6fff92f5e044852337b79e7d30150735a4328f7a4

Observation cae032ca-69af-45f0-a36d-7fe5d2c3ebf0 · outbound

This paper cites KDD , pages=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors KDD , pages=

Reference 34

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source=arxiv_source observed=2026-07-31T04:39:46.833472Z digest=sha256:3641f3559402ace2a816ef7c2b46f3f715409898fd7675c601f47ed38e555654

Observation 429e9f4f-77e7-4904-8c24-226af21a6f7a · outbound

This paper cites Proceedings of the 24th international conference on world wide web , pages=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Proceedings of the 24th international conference on world wide web , pages=

Reference 35

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source=arxiv_source observed=2026-07-31T04:39:46.837567Z digest=sha256:502c6def1c8158c4afaecb3ef1b37e94cbff952c51aa9d112da5c6711530156c

Observation 3172ce6c-fe94-4648-8e40-8eb08e9e4233 · outbound

This paper cites an unresolved cited work.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Unresolved cited work

Reference 36

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source=arxiv_source observed=2026-07-31T04:39:46.841912Z digest=sha256:4a702f12438750fd3b53046975bb9dc8c23035becb83453030c72d54ad96a1f8

Observation aeb749a0-d5df-470a-9121-2875480092a6 · outbound

This paper cites Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?

Reference 37

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Observation 83ec6148-9925-4679-9697-a70592a7f4cd · outbound

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Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Unresolved cited work

Reference 38

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source=arxiv_source observed=2026-07-31T04:39:46.851406Z digest=sha256:ab398a78c39327d54bf07b1dd057aae58b38f1d8677e49beb65e23d4e2c1b1a0

Observation afcd8bd4-60e7-4fd2-bbf4-564b2def1d37 · outbound

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Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Unresolved cited work

Reference 39

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source=arxiv_source observed=2026-07-31T04:39:46.855792Z digest=sha256:d10d2c77ed4406ff5eae67ff4b1332ad6de4be52e685b8fe8c1090960261aeea

Observation 870af608-cd2f-4f3d-9acd-fb81555cff76 · outbound

This paper cites an unresolved cited work.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Unresolved cited work

Reference 40

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source=arxiv_source observed=2026-07-31T04:39:46.860062Z digest=sha256:1b5593e96245b9934b9aad75c8503ddb61943d972e7e6ead87061d805ddb6068

Observation 34e4ba74-1736-4cf3-8544-b83bb24a03ad · outbound

This paper cites an unresolved cited work.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Unresolved cited work

Reference 41

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source=arxiv_source observed=2026-07-31T04:39:46.864078Z digest=sha256:2c5f910902241dab4e377099ab0fcf163b5abb5b56f0c1067456a21b40afc944

Observation a3ef6ed0-40d2-468a-90af-0f405598d232 · outbound

This paper cites 2023 , organization=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors 2023 , organization=

Reference 42

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source=arxiv_source observed=2026-07-31T04:39:46.868236Z digest=sha256:d9fa7186fe69c9f190913633760d10f8c1c91ccb147a832151e04a0ba8386ebc

Observation 2ee322de-df0b-4d03-9568-842cdb89c20a · outbound

This paper cites an unresolved cited work.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Unresolved cited work

Reference 43

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source=arxiv_source observed=2026-07-31T04:39:46.872587Z digest=sha256:c83859ea224a1934f80cf5ba773dae759c2bf1112a8193589b05accb1c19f17e

Observation 026373a8-fd7f-49fb-9202-53fcbb32671c · outbound

This paper cites Uncertainty in Artificial Intelligence , pages=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Uncertainty in Artificial Intelligence , pages=

Reference 44

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source=arxiv_source observed=2026-07-31T04:39:46.877087Z digest=sha256:279d85800e15efa2fb82b8e0df5c501f8a9baef09d3de524f88f7d4b90c5ae24

Observation 4b92a8ad-b850-4d9f-ae9b-91c40342c5d8 · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors IEEE Transactions on Neural Networks and Learning Systems , volume=

Reference 45

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source=arxiv_source observed=2026-07-31T04:39:46.881854Z digest=sha256:61d87b5045dc49809b2461ae56f2c159162ee3a8c3ead14cdc3eff2debf4b74a

Observation a5a6faab-6564-4bbf-bc7a-1652fd13725c · outbound

This paper cites an unresolved cited work.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Unresolved cited work

Reference 46

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source=arxiv_source observed=2026-07-31T04:39:46.886301Z digest=sha256:8cde801960d1064ce2398d2039afe5ad0211712d573c524886348353635606a8

Observation 9d1aad3a-bfc5-468e-8184-9456dfe89b00 · outbound

This paper cites A Survey on The Expressive Power of Graph Neural Networks.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors A Survey on The Expressive Power of Graph Neural Networks

Reference 47

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source=arxiv_source observed=2026-07-31T04:39:46.890608Z digest=sha256:77390824bf3af9bfa05862f6fa795cb6d0bdc29e24e49c0ab2b3d2075b2a6f87

Observation 29fef93b-63ed-41bd-bf8e-c3143b13ca03 · outbound

This paper cites an unresolved cited work.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Unresolved cited work

Reference 48

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source=arxiv_source observed=2026-07-31T04:39:46.895368Z digest=sha256:ec3653850b4ad45f442bb3fa32481980227d2d11589ec5b1b3c1ebe41bf5b6e1

Observation a77abbea-f697-45d4-9f0b-16fd1e970951 · outbound

This paper cites an unresolved cited work.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Unresolved cited work

Reference 49

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source=arxiv_source observed=2026-07-31T04:39:46.899916Z digest=sha256:9582c7bc0a25ae6827a3626283031e76729c5b12b47c944f65e8902ccb47bb46

Observation 59076466-d464-43f5-8a8e-a9f1b6d125eb · outbound

This paper cites an unresolved cited work.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Unresolved cited work

Reference 50

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source=arxiv_source observed=2026-07-31T04:39:46.904141Z digest=sha256:8f0e19dfd1325b59d8b7e4ef3a553d8496479931d7b84d704619669ad9f55d46

Observation 694d5dc7-b320-4e6f-8d3f-1e90df78c7f0 · outbound

This paper cites an unresolved cited work.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Unresolved cited work

Reference 51

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source=arxiv_source observed=2026-07-31T04:39:46.908932Z digest=sha256:cb0748413f6a6bceee2426d3bdeae98de6d1fac2e79b29fa1df316ce08bfab47

Observation bdbbbb01-c0a5-4312-b12e-e5d02fae8523 · outbound

This paper cites KDD , pages=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors KDD , pages=

Reference 52

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source=arxiv_source observed=2026-07-31T04:39:46.913322Z digest=sha256:df6e7e33d007432f1d33274b48fb721afd42ae94c3dfc5af6dc2a3342c5617ed

Observation b2de1521-8365-4175-8a51-8d166c1137d2 · outbound

This paper cites Proceedings of the 24th ACM International on Conference on Information and Knowledge Management , pages =.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Proceedings of the 24th ACM International on Conference on Information and Knowledge Management , pages =

Reference 53

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source=arxiv_source observed=2026-07-31T04:39:46.917812Z digest=sha256:3e7982852465d8e395ce831a7cd1244164624a4c29b7ef07aa35805a28a48d24

Observation 823c6227-ce43-40b4-886a-da6fc5287162 · outbound

This paper cites an unresolved cited work.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Unresolved cited work

Reference 54

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source=arxiv_source observed=2026-07-31T04:39:46.922090Z digest=sha256:45196b6e97a17e66f7339f022e1e052a5271e33051f5d42e13b39e2ee9d8be60

Observation 7aae7419-3447-472c-8b78-f2c0881ddeba · outbound

This paper cites IEEE Transactions on Signal Processing , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors IEEE Transactions on Signal Processing , volume=

Reference 55

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source=arxiv_source observed=2026-07-31T04:39:46.926351Z digest=sha256:871f826f1d48284f955f611587e1dd220a2c418cd3de82f95a3ba376b90d11d0

Observation 796451ee-8c14-490e-9ed5-f28e85312d03 · outbound

This paper cites Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning

Reference 56

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source=arxiv_source observed=2026-07-31T04:39:46.930553Z digest=sha256:64721428d5af7934aee2fd3b9cf3c7040d984ba087bdae2e938f30bc8a94914c

Observation b67014c5-9471-4d75-a106-584945ba5fc9 · outbound

This paper cites Proceedings of the 19th.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Proceedings of the 19th

Reference 57

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source=arxiv_source observed=2026-07-31T04:39:46.935042Z digest=sha256:7c556469964e60902b197313595cb714c69cefcceceedf3055728550450e8d7a

Observation 797d71dd-a5bf-42b9-901a-ed51d0e3d7b0 · outbound

This paper cites ICLR , year=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors ICLR , year=

Reference 58

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source=arxiv_source observed=2026-07-31T04:39:46.939099Z digest=sha256:2197a690aa138d0cd91c334076b35ea335e326fe0048bcd9618ec003cabfb2f5

Observation aab6bb65-9218-4c96-912a-2c8245b1c98c · outbound

This paper cites , author=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors , author=

Reference 59

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source=arxiv_source observed=2026-07-31T04:39:46.943464Z digest=sha256:7e936876dd1e38cbe3d6ff6a2b13888c80f728f18aaee874ea343db32208a285

Observation 42e497d0-ecf6-4810-81e5-b5260c44fab5 · outbound

This paper cites AAAI , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors AAAI , volume=

Reference 60

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source=arxiv_source observed=2026-07-31T04:39:46.947536Z digest=sha256:e40a7f53619a18e229adf6b420a1262afef005bc818277dc44f738392ae822a8

Observation bbc82fa8-1a89-4f22-8b74-b5574c11a1a9 · outbound

This paper cites FitNets: Hints for Thin Deep Nets.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors FitNets: Hints for Thin Deep Nets

Reference 61

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source=arxiv_source observed=2026-07-31T04:39:46.952227Z digest=sha256:3b0d5279eda0a7ce239f49796bc0470d048de141bdc45aaf319d785a73504d50

Observation b04f0824-7e90-4820-8c97-eae994456da8 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Distilling the Knowledge in a Neural Network

Reference 62

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source=arxiv_source observed=2026-07-31T04:39:46.957172Z digest=sha256:85ef6d0f31a578fb64b87088cd5ddb4ef7f64e29d7a8a19b0a4d81141a641697

Observation 8cb00bc7-46d9-4811-bb19-c870b03bbe74 · outbound

This paper cites 2022 , issue_date =.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors 2022 , issue_date =

Reference 63

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source=arxiv_source observed=2026-07-31T04:39:46.961655Z digest=sha256:9fe9b04cb78ab6f0faeee9e35ef0797399624f6186016fda47998cdd82fc5485

Observation 15a40079-aff3-4396-b99a-f6bba6caf132 · outbound

This paper cites The Eleventh.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors The Eleventh

Reference 64

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source=arxiv_source observed=2026-07-31T04:39:46.966144Z digest=sha256:cd8adca73d528df46aebca6c89f9da890d898b2a01705a7f28deddeb26074687

Observation 412ff476-7edb-4011-9411-c663c1dc01dc · outbound

This paper cites Adaptive Graph Diffusion Networks.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Adaptive Graph Diffusion Networks

Reference 65

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source=arxiv_source observed=2026-07-31T04:39:46.970428Z digest=sha256:5fcaffbe9c80846cd1ef6b98cae1512f51723f228b4bc2f119d4fdb262d30c6b

Observation b7a2ab64-e4d4-41ad-ac55-647793ea6212 · outbound

This paper cites Learning on Large-scale Text-attributed Graphs via Variational Inference.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Learning on Large-scale Text-attributed Graphs via Variational Inference

Reference 66

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source=arxiv_source observed=2026-07-31T04:39:46.975256Z digest=sha256:af37dec135069633eccc89f4795ae7d278245e8b36f550ec8429893c93aab3d6

Observation 6737eb1c-7020-4f5b-8598-cfc49a2ced81 · outbound

This paper cites Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs

Reference 67

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source=arxiv_source observed=2026-07-31T04:39:46.980222Z digest=sha256:429ca571701bb19a15bb06dec93adb059b3d585adfad11f7aaa193eb014c4a12

Observation c7910baf-711d-4a98-ad2c-47994cfade15 · outbound

This paper cites A Survey on Graph Representation Learning Methods.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors A Survey on Graph Representation Learning Methods

Reference 68

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source=arxiv_source observed=2026-07-31T04:39:46.984779Z digest=sha256:f416322356260436a7e4ac8c724a3d74da63d0e80725a0cac198872367acfb87

Observation f668352f-47e6-45ae-8d10-386406ead594 · outbound

This paper cites 2016 , note =.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors 2016 , note =

Reference 69

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source=arxiv_source observed=2026-07-31T04:39:46.989759Z digest=sha256:c3ddcc60dbd559c41acaacda249f55f9d1505521db55edb40362b7c4c62e6f27

Observation 6d87d783-4fbd-4f79-a0c8-b6988c1f96a0 · outbound

This paper cites Journal of Symbolic Computation , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Journal of Symbolic Computation , volume=

Reference 70

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source=arxiv_source observed=2026-07-31T04:39:46.994025Z digest=sha256:9891a3bb22e92b07cf245e8d271f65fc2257f47b8310d0f17f02e149f98f55ce

Observation c29e60e8-da3d-4094-af9d-8780be2727f1 · outbound

This paper cites how graph neural networks go beyond weisfeiler-lehman?.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors how graph neural networks go beyond weisfeiler-lehman?

Reference 71

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source=arxiv_source observed=2026-07-31T04:39:46.998421Z digest=sha256:0221a3b7d5014eb34eb72a7a83956f59125e4ba99a7372d32c3db99c14e132ae

Observation 4188a648-187e-488e-b00d-1cdb57f35267 · outbound

This paper cites AAAI , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors AAAI , volume=

Reference 72

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source=arxiv_source observed=2026-07-31T04:39:47.002575Z digest=sha256:04407361bb014e962afd39f874d012f41230e105f28bfc6bb0c169ff3f643469

Observation b7418334-11af-4d00-8546-a8695475a1a7 · outbound

This paper cites an unresolved cited work.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Unresolved cited work

Reference 73

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source=arxiv_source observed=2026-07-31T04:39:47.006804Z digest=sha256:7f86e449001119b91cac45294185e312b7778849f783597d0b8cf8e07e27f652

Observation 7904feff-ef50-4fbf-a492-e56f4f9d6842 · outbound

This paper cites Information Sciences , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Information Sciences , volume=

Reference 74

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source=arxiv_source observed=2026-07-31T04:39:47.011069Z digest=sha256:1e60778b5a08a66d72a752dea0899e47b978be1d7ab30072ad8435a3f6b0b594

Observation 800fce63-3eac-4d05-b5f6-decc7f4cc039 · outbound

This paper cites an unresolved cited work.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Unresolved cited work

Reference 75

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source=arxiv_source observed=2026-07-31T04:39:47.015099Z digest=sha256:f1a1f93981ecb57c3dcb6bf03622d957e5032402c1acd81826f36ce0c3f31b47

Observation 21d4ab90-1d71-444c-b08f-d42c456dce5d · outbound

This paper cites ICLR , year=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors ICLR , year=

Reference 76

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source=arxiv_source observed=2026-07-31T04:39:47.019136Z digest=sha256:df51ed7c435caec044131db95c28df8e968d5045afa4bbd0b075e8c5a4884b9b

Observation 42287590-60ed-4d32-be4d-e13b58631dd2 · outbound

This paper cites Foundations of Computational Mathematics , pages=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Foundations of Computational Mathematics , pages=

Reference 77

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T04:39:47.024073Z digest=sha256:b7689d516aec5d15936839f97eb5792a832fbbb08658c624835890be46b7005a

Observation ea9e077e-14e9-4358-bf31-a82124fb778f · outbound

This paper cites Graph Neural Networks: Foundations, Frontiers, and Applications , pages=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Graph Neural Networks: Foundations, Frontiers, and Applications , pages=

Reference 78

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no resolver link, observed 2026-07-31T04:39:47.028382Z

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source=arxiv_source observed=2026-07-31T04:39:47.028382Z digest=sha256:ae96df5f6c23cd1fcf3520d5b80eb69e16bed2b053282b6e7bce9bf315942b01

Observation a861ab79-4770-4209-9314-ddbef3a3e0ad · outbound

This paper cites International Journal of Bifurcation and Chaos , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors International Journal of Bifurcation and Chaos , volume=

Reference 79

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T04:39:47.032651Z digest=sha256:c67c170e9ad359091159253bd6719ccc6728329e4b256db34a1c5f7245a984e2

Observation d0ecc0d3-9f21-43c3-b38c-a0fea5e274ec · outbound

This paper cites Journal of mathematical sociology , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Journal of mathematical sociology , volume=

Reference 80

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source=arxiv_source observed=2026-07-31T04:39:47.036921Z digest=sha256:9242d77f52d9628cd79458b929bc31f3e26cf0f926e3008382287c4563eca08e

Observation 184c10bf-94cb-4dc6-a148-658e0869485a · outbound

This paper cites Consistent Individualized Feature Attribution for Tree Ensembles.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Consistent Individualized Feature Attribution for Tree Ensembles

Reference 82

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source=arxiv_source observed=2026-07-31T04:39:47.045570Z digest=sha256:132838d0c57f946ce733f6c9570d14931a458c40b99ddd3333294330670d5c9f

Observation f153395a-4759-4a22-9cec-151c8b07977b · outbound

This paper cites Scientific reports , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Scientific reports , volume=

Reference 83

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Source-reported events for the cited work

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source=arxiv_source observed=2026-07-31T04:39:47.050606Z digest=sha256:7ea9a5f7fc1c83d6a8ee8312f7c659de9868468163aa3e53ee11468bf6acda32

Observation 4f1468da-4ef3-47e6-8526-9080dc76b9bd · outbound

This paper cites Computing Minimal Presentations and Bigraded Betti Numbers of 2-Parameter Persistent Homology.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Computing Minimal Presentations and Bigraded Betti Numbers of 2-Parameter Persistent Homology

Reference 84

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no resolver link, observed 2026-07-31T04:39:47.055659Z

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source=arxiv_source observed=2026-07-31T04:39:47.055659Z digest=sha256:3f45cfbe899a5c3ed5b38afc22937de53362fbf6f6cf779c9b84249f846da1af

Observation 4ec9758c-9b33-47fb-9715-73e9fc92460b · outbound

This paper cites IEEE Access , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors IEEE Access , volume=

Reference 85

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no resolver link, observed 2026-07-31T04:39:47.060678Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-31T04:39:47.060678Z digest=sha256:a60d92e809d0beca17d10346367c7245289594048ac2ab88266de88747d728a8

Observation 5e6ce5a5-4035-4b2b-981e-8ebca492889c · outbound

This paper cites Information and Inference: A Journal of the IMA , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Information and Inference: A Journal of the IMA , volume=

Reference 86

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no resolver link, observed 2026-07-31T04:39:47.065087Z

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source=arxiv_source observed=2026-07-31T04:39:47.065087Z digest=sha256:6a4e29e31f250fbcdca068110e7df9f7fd1b8bf40e431a5662c538fa48031e88

Observation 635517f7-1987-4caf-ac97-3e26d3143eda · outbound

This paper cites an unresolved cited work.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Unresolved cited work

Reference 87

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no resolver link, observed 2026-07-31T04:39:47.069739Z

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source=arxiv_source observed=2026-07-31T04:39:47.069739Z digest=sha256:786d61c891cddf4728fc4bb76c96c17cc7c9a700639c87bb6fc69b84b6522f49

Observation 05ff7d5c-9b48-4017-8f72-a64d84eaaf43 · outbound

This paper cites Nucleic acids research , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Nucleic acids research , volume=

Reference 88

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no resolver link, observed 2026-07-31T04:39:47.074379Z

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source=arxiv_source observed=2026-07-31T04:39:47.074379Z digest=sha256:788ba891266cdf531aec7aea16e68c5c9ca6949beedd962d83d04708e3bd4cee

Observation d1612cad-4769-4794-bc3b-97d62eb97b38 · outbound

This paper cites Knowledge and Information Systems , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Knowledge and Information Systems , volume=

Reference 89

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no resolver link, observed 2026-07-31T04:39:47.079005Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-31T04:39:47.079005Z digest=sha256:e102334f3bb5b073fdb9512663363b445c8a9adc2a39eb6ab02ab33764f27017

Observation c9e72bde-188c-454e-b613-f1d4f986e420 · outbound

This paper cites Journal of molecular biology , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Journal of molecular biology , volume=

Reference 90

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no resolver link, observed 2026-07-31T04:39:47.083488Z

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source=arxiv_source observed=2026-07-31T04:39:47.083488Z digest=sha256:aade90febdc287fbbf61fc13e494401b65f5a590c8f6cff68f660144c746fd43

Observation be817c3e-5d32-4b9d-a9ae-ff294add9414 · outbound

This paper cites Social networks , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Social networks , volume=

Reference 91

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no resolver link, observed 2026-07-31T04:39:47.088334Z

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source=arxiv_source observed=2026-07-31T04:39:47.088334Z digest=sha256:b2fad9843e268e33910768c7ede3d980e094bc7c0f09625e0649a0e76a9410e2

Observation 29a8e6e0-4018-4505-aa57-06634c947e20 · outbound

This paper cites ICLR , year=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors ICLR , year=

Reference 92

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source=arxiv_source observed=2026-07-31T04:39:47.092790Z digest=sha256:6c10c02b56a0b0910b33074939c312b306a4f2530a0f48c4b5f260b34076a590

Observation 86becbd2-e247-47aa-afe9-41b98cf77441 · outbound

This paper cites Scientific reports , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Scientific reports , volume=

Reference 93

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no resolver link, observed 2026-07-31T04:39:47.097468Z

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source=arxiv_source observed=2026-07-31T04:39:47.097468Z digest=sha256:48e4c9007fd7a7130822b8884722f34832de430b4f5b4dae436420f470288010

Observation 38e3c158-b358-49b4-ad4b-44e3bf0c0b41 · outbound

This paper cites JMLR , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors JMLR , volume=

Reference 94

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source=arxiv_source observed=2026-07-31T04:39:47.101938Z digest=sha256:0418ef087dac2c8972be7e44cd96c799a3e9c0fd644d3f9495f507a934caa22d

Observation 1401def0-a9cb-4166-8092-10e6a565dadf · outbound

This paper cites International Conference on Image Analysis and Processing , pages=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors International Conference on Image Analysis and Processing , pages=

Reference 95

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source=arxiv_source observed=2026-07-31T04:39:47.106764Z digest=sha256:3bf4f0a897a1114e57f48fe308ada125a4e8d053167591cbc4f1e111dab37b0a

Observation 4883d087-e57a-4c35-bbb8-1a3b833f7317 · outbound

This paper cites an unresolved cited work.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Unresolved cited work

Reference 96

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no resolver link, observed 2026-07-31T04:39:47.111638Z

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source=arxiv_source observed=2026-07-31T04:39:47.111638Z digest=sha256:f3f682c50fcd7af6c1600d34573987575c58b2a8fd6a8b6399f6723793350356

Observation 43cad545-2132-4352-9008-3a7552638ae3 · outbound

This paper cites ICML , pages=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors ICML , pages=

Reference 97

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source=arxiv_source observed=2026-07-31T04:39:47.116224Z digest=sha256:da8fd7f2d12843983c08f1269d4d8a732e30634cfe0c369ef1c9feec0b240a32

Observation 34521012-1b7b-4b49-858a-8c4de5bb42af · outbound

This paper cites KDD , pages=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors KDD , pages=

Reference 98

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no resolver link, observed 2026-07-31T04:39:47.120407Z

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source=arxiv_source observed=2026-07-31T04:39:47.120407Z digest=sha256:12a5f0f61bf8cb5bef78657aa4fc9cb6d8b80c62cd717ac2841ed16bbb49c46f

Observation fdceedbc-be8d-4f1f-bc3e-b32e2a85edb5 · outbound

This paper cites SIAM Journal on Mathematics of Data Science , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors SIAM Journal on Mathematics of Data Science , volume=

Reference 99

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source=arxiv_source observed=2026-07-31T04:39:47.124669Z digest=sha256:67df5ffcaac5c92568e5dd5c9e58ad4f638cc027dbf360aa8bdc432a63006c6c

Observation 280b1699-6c70-4caf-b20c-74011a744a60 · outbound

This paper cites Annals of Statistics , volume=.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Annals of Statistics , volume=

Reference 100

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source=arxiv_source observed=2026-07-31T04:39:47.128971Z digest=sha256:5839c4d4b22b58a5d0f9d93095a039916c88b78b06c3c07a288f76359b330930

Observation ad0d5678-af6c-4cfb-84b6-1c5f835479a1 · outbound

This paper cites Adversarial Defense Framework for Graph Neural Network.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Adversarial Defense Framework for Graph Neural Network

Reference 101

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source=arxiv_source observed=2026-07-31T04:39:47.134036Z digest=sha256:11454a0fb142197d98368b65462dcc8edc482f6d248f88b5bd0c98bd355ecb9b

Pith citing papers

No inbound Pith citation observations are available.