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Paper Citation Record · LEDGER

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction

As of 7 August 2026, this Paper Citation Record lists 100 of 126 outbound references and 0 inbound Pith citation observations for arXiv:2607.29115.

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

pith.paper-citation-record.v1
2607.29115 v1

Coverage vector

measured 100 of 126 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T13:30:12.213660Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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 126 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f014ee46-e059-43cc-9008-e5827ea1b293 · outbound

This paper cites arXiv e-prints , pages=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction arXiv e-prints , pages=

Reference 1

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source=arxiv_source observed=2026-08-03T13:30:02.434568Z digest=sha256:32d20e2e317bad7a64e63e5f89283ccb208788e7793f8b9ac31573a93ac54474

Observation b30d9ed2-36f6-43e9-a479-8e95cac2e9eb · outbound

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

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction International Conference on Learning Representations , year=

Reference 2

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source=arxiv_source observed=2026-08-03T13:30:02.589057Z digest=sha256:ba30198aaf6caaa9308931cd5d0a872f9d3d7400360508eb218d1fdf53ad2826

Observation 80570985-afe0-4fd2-8b46-dcbadb907f2c · outbound

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

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction International Conference on Learning Representations , year=

Reference 3

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T13:30:02.749808Z digest=sha256:b7a34146301c93c07c4ffe18a82640df9461b3a3dfcc88918faad8b44d0fc589

Observation d4144161-229d-47d6-9434-8403870e2761 · outbound

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

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Advances in neural information processing systems , volume=

Reference 4

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source=arxiv_source observed=2026-08-03T13:30:02.912081Z digest=sha256:7fb7b81ce583b81437585b8c76460dc0b3048045d7aeca656f1ef80b9bd5f891

Observation db3d07ba-7b02-46eb-b381-f1c7f03f9ce7 · outbound

This paper cites Mathematics of control, signals and systems , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Mathematics of control, signals and systems , volume=

Reference 5

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source=arxiv_source observed=2026-08-03T13:30:03.064728Z digest=sha256:d13c52268c4cd217fea7c0307bc6a96e195507af5d12b47da2155ee01a2fcae8

Observation f1a71496-62df-419a-ba94-c94bd56dd837 · outbound

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

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction International conference on machine learning , pages=

Reference 6

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no resolver link, observed 2026-08-03T13:30:03.147117Z

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source=arxiv_source observed=2026-08-03T13:30:03.147117Z digest=sha256:74cebfb31e2d4c7ed8e6273c7573e0c74d580c00135bac31a8dc3b6d34c2a7b7

Observation e1758839-792d-4fc1-9dcd-bf03ac771118 · outbound

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

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Advances in Neural Information Processing Systems , volume=

Reference 7

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no resolver link, observed 2026-08-03T13:30:03.228844Z

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source=arxiv_source observed=2026-08-03T13:30:03.228844Z digest=sha256:3e34a5efc39b93aac875ad29951d1e834c17d0136b00b7a28f8ca8333df7ebb5

Observation 979dbc35-10f4-4800-8d30-93f21ec1978b · outbound

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

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Advances in neural information processing systems , volume=

Reference 8

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source=arxiv_source observed=2026-08-03T13:30:03.262247Z digest=sha256:aff0a25172dc3894590be6304d3c7c1e4b6cf437405687d4ab14bc98b939b04f

Observation a3870fa6-f9c4-4484-8434-cc107d75f8c3 · outbound

This paper cites The European Physical Journal B , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction The European Physical Journal B , volume=

Reference 9

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source=arxiv_source observed=2026-08-03T13:30:03.327855Z digest=sha256:511c56355b7d3f4008b2e3d286e65764cc5c1130a857913ff3bdb088b94b071a

Observation 4e11aed0-9a6f-4907-b713-9a6b6a81050a · outbound

This paper cites science , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction science , volume=

Reference 10

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source=arxiv_source observed=2026-08-03T13:30:03.370166Z digest=sha256:7f0c86488bb54ea35dd2d0c2e62ed68eb415a882ba177fc86f3ffd3925b31774

Observation 3f4483ec-adcb-4ded-aa46-fc2cac4f75fc · outbound

This paper cites Variational Graph Auto-Encoders.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Variational Graph Auto-Encoders

Reference 11

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source=arxiv_source observed=2026-08-03T13:30:03.452334Z digest=sha256:80fc309e9078b306692712241949929c4a7e32059ccd8789417a2156b42a1ed6

Observation 9edcd9d6-6d7b-448a-820c-cd090d07db7d · outbound

This paper cites Proceedings of the 22nd ACM SIGKDD international conference on Knowledge discovery and data mining , pages=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Proceedings of the 22nd ACM SIGKDD international conference on Knowledge discovery and data mining , pages=

Reference 12

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source=arxiv_source observed=2026-08-03T13:30:03.538597Z digest=sha256:0d514a95485f99cf73667f45cf9f310dd3fcce1c236468c69c5cd7930c59ef11

Observation 06d7cb69-40f1-4008-85a8-54fb00e7e629 · outbound

This paper cites Computer , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Computer , volume=

Reference 13

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source=arxiv_source observed=2026-08-03T13:30:03.597435Z digest=sha256:438eb3e1325dc45644ff0a4e4bd4be311df8e78cfc1ca9e9a469b5d4b1e5ae07

Observation 1659d851-f943-42c5-a301-208851df84bd · outbound

This paper cites Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining , pages=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining , pages=

Reference 14

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source=arxiv_source observed=2026-08-03T13:30:03.683277Z digest=sha256:dadee5810eef3291aaa8aedf79e93d2f34b1a0ba55de20b40113b103dafd67fe

Observation 439b5154-d566-41c3-8f28-f9333534f348 · outbound

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

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Advances in Neural Information Processing Systems , volume=

Reference 15

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no resolver link, observed 2026-08-03T13:30:03.748234Z

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source=arxiv_source observed=2026-08-03T13:30:03.748234Z digest=sha256:9d885896e6841366ea3e4cad62f46fe4a1c4317c42f3ca47806b0913c6e72103

Observation 2c83a042-e1f5-48b0-8610-2cb029131773 · outbound

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

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Advances in Neural Information Processing Systems , volume=

Reference 16

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source=arxiv_source observed=2026-08-03T13:30:03.827595Z digest=sha256:f37b7b9cc597b8a81703204be52adea947e31dd210d7a4943aea1778c40ae8f1

Observation a8c4b94c-5ea3-49a6-91a9-35732691c744 · outbound

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

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction International Conference on Learning Representations , year=

Reference 17

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no resolver link, observed 2026-08-03T13:30:03.886452Z

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source=arxiv_source observed=2026-08-03T13:30:03.886452Z digest=sha256:43894084607ece4683c721f68c9cd8f50e09e545b04a69bb97f1d67d565ea406

Observation 3587dd6a-a319-4716-bf1d-1b491fcff226 · outbound

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

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Advances in neural information processing systems , volume=

Reference 18

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no resolver link, observed 2026-08-03T13:30:03.974228Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-03T13:30:03.974228Z digest=sha256:d6f4d4c4f195a4a46da7c1843c04276fa5cadb66dc100045d0afab4c7b18e4d6

Observation db3f8ff6-4ec6-4c6c-8b02-f1efde43e0a4 · outbound

This paper cites Applied and Computational Harmonic Analysis , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Applied and Computational Harmonic Analysis , volume=

Reference 19

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no resolver link, observed 2026-08-03T13:30:04.053512Z

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source=arxiv_source observed=2026-08-03T13:30:04.053512Z digest=sha256:7f3c00a52e2ce889c56c3a1b705c9f8b55ea8b7bf07721b5863ad54b1a4e3858

Observation 28d56b9c-4655-48ca-bac2-0075575eff55 · outbound

This paper cites International conference on complex networks and their applications , pages=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction International conference on complex networks and their applications , pages=

Reference 20

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source=arxiv_source observed=2026-08-03T13:30:04.112005Z digest=sha256:64af30bca0b4de6a22c433603ad84c259e3b0d901c06fbdb6a7ac1841523bbe6

Observation db0ff3df-a904-4168-aee4-ff4f74126ff1 · outbound

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

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction International conference on machine learning , pages=

Reference 21

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source=arxiv_source observed=2026-08-03T13:30:04.169023Z digest=sha256:10633d37f551c2721fc2f2f21069762dca3a9261e256f364287c1a5375adadda

Observation 89ea6c9f-c1c7-4ec4-a56b-2cb4fec47f24 · outbound

This paper cites Joshi and Thomas Laurent and Yoshua Bengio and Xavier Bresson , title=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Joshi and Thomas Laurent and Yoshua Bengio and Xavier Bresson , title=

Reference 22

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source=arxiv_source observed=2026-08-03T13:30:04.254915Z digest=sha256:145ec3fdbc50f8b6ed61eeefc525e30a154a6558ed45a92da0839f6eaffb6355

Observation 9ad8d757-3634-45c8-b15f-6e429c32f5ce · outbound

This paper cites 2021 , url=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction 2021 , url=

Reference 23

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source=arxiv_source observed=2026-08-03T13:30:04.335350Z digest=sha256:d7521ca9c01535f5014a4bfc47049d69856167df654fddb495e34a96d4c742a1

Observation 6f713c50-1b1d-4d33-a7c3-fc32c6bfd589 · outbound

This paper cites Communications of the ACM , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Communications of the ACM , volume=

Reference 24

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source=arxiv_source observed=2026-08-03T13:30:04.397179Z digest=sha256:cdcc0559bbc645e660f26c41701d20649a34697f087a11a5df9cc64cb56f7a2a

Observation 537d47a2-0cf8-46db-b063-5b22d1f93455 · outbound

This paper cites Proceedings of the 2008 ACM SIGMOD international conference on Management of data , pages=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Proceedings of the 2008 ACM SIGMOD international conference on Management of data , pages=

Reference 25

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source=arxiv_source observed=2026-08-03T13:30:04.510304Z digest=sha256:edec86af7b087985ac615763eec9d52ce0db9534ce43706064943fcfd7583c66

Observation 13d81795-a5f4-4ef7-9e90-199b76c35097 · outbound

This paper cites Scientific american , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Scientific american , volume=

Reference 26

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source=arxiv_source observed=2026-08-03T13:30:04.566105Z digest=sha256:ed82acf670455c633a3446f3cac4b3c48d944059843af486684bb27ea908ae43

Observation f2643b04-2249-4576-baba-6ade7047558d · outbound

This paper cites Israel Journal of Mathematics , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Israel Journal of Mathematics , volume=

Reference 27

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no resolver link, observed 2026-08-03T13:30:04.670069Z

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source=arxiv_source observed=2026-08-03T13:30:04.670069Z digest=sha256:c7495a09a68e8ebd6a20cfb9fea8bf926d5e84da69939ddb8d1119cf130ac1c6

Observation bac8183d-2c0a-4750-9051-598e7ed2d883 · outbound

This paper cites Combinatorica , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Combinatorica , volume=

Reference 28

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no resolver link, observed 2026-08-03T13:30:04.737112Z

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source=arxiv_source observed=2026-08-03T13:30:04.737112Z digest=sha256:d4ad6c57e6fd42edf7c241ffd158f9050a78e6e6da4661cd9b8a783d70b0630e

Observation 4a912726-9091-4494-92a4-27d93683e02e · outbound

This paper cites Journal of the ACM (JACM) , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Journal of the ACM (JACM) , volume=

Reference 29

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no resolver link, observed 2026-08-03T13:30:04.796367Z

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source=arxiv_source observed=2026-08-03T13:30:04.796367Z digest=sha256:1ead08b5cbde26a25287bd5f8abba0a2d92050acb9ac93a0595d21071197435b

Observation 5f0b6065-6f15-46e3-bb92-a444c54495da · outbound

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

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Advances in Neural Information Processing Systems , volume=

Reference 30

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no resolver link, observed 2026-08-03T13:30:04.890888Z

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source=arxiv_source observed=2026-08-03T13:30:04.890888Z digest=sha256:32f83c7c7c2f991788385f3828b5197ceeb6ef00070cd5299da115095ec8423c

Observation 5078fd03-5276-4e01-a903-2e48ca85a20b · outbound

This paper cites 2021 , url=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction 2021 , url=

Reference 31

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no resolver link, observed 2026-08-03T13:30:04.997496Z

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source=arxiv_source observed=2026-08-03T13:30:04.997496Z digest=sha256:ad18cbd5b13188871d40884f6a23ae1f376d65da3a490cbecb16ba4d54d8ebf4

Observation a82ed464-d177-44c6-83b8-632b91d22435 · outbound

This paper cites Graph Attention Networks.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Graph Attention Networks

Reference 32

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source=arxiv_source observed=2026-08-03T13:30:05.096803Z digest=sha256:dc9d8459c940c368cf911f8e1b9f93a9394cc64dff856db0a903e8309df14f51

Observation 66695fc5-9f43-4d3e-b525-8b72d4349bf6 · outbound

This paper cites Graph Attention Networks.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Graph Attention Networks

Reference 33

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no resolver link, observed 2026-08-03T13:30:05.161853Z

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source=arxiv_source observed=2026-08-03T13:30:05.161853Z digest=sha256:4bdcaece8e72a2f39c825db09a67b959a4dda70be6ddc7aec0cc1210ba503adc

Observation 08931cc1-23c0-47e0-a148-9487c56b2ccd · outbound

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

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Proceedings of the 37th International Conference on Machine Learning , pages =

Reference 34

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source=arxiv_source observed=2026-08-03T13:30:05.259079Z digest=sha256:6d9f4135727f463e705e24b2023b612a164b33735a590d4f2461df44c9428e60

Observation 6274fdcf-5a76-44b1-83e2-36106d8b35e1 · outbound

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

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction IEEE Transactions on Pattern Analysis and Machine Intelligence , year=

Reference 35

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source=arxiv_source observed=2026-08-03T13:30:05.326354Z digest=sha256:49d78f0d382fdff99aff6279258e1d30d77940f494add50bccc0f4913e39bc81

Observation c8405f41-0db1-4051-85c1-327c8dccf339 · outbound

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

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction International conference on machine learning , pages=

Reference 36

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no resolver link, observed 2026-08-03T13:30:05.425868Z

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source=arxiv_source observed=2026-08-03T13:30:05.425868Z digest=sha256:f99bebdcdd01c770e66f782fbce79a8a08f02367855b39dadf99beb6dceda200

Observation 492f802f-f6b2-4933-981b-fe482dd605ff · outbound

This paper cites Kingma and Jimmy Ba , title=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Kingma and Jimmy Ba , title=

Reference 37

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source=arxiv_source observed=2026-08-03T13:30:05.506598Z digest=sha256:583d8beb1a79ffd07421a4d0e91900134e27124697690c53883ae87d99e79924

Observation bd419ee2-995f-4d5b-9630-aa55f234b4d3 · outbound

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

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction International Conference on Learning Representations , year=

Reference 38

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T13:30:05.607907Z digest=sha256:d7d7821241bbe66af978c268618832bfdfbd58abf71fbb180793313d3fab9efa

Observation 02f1d1e7-1a3b-4c6e-be3f-6637bbf7bfe2 · outbound

This paper cites Proceedings of the 18th ACM conference on Information and knowledge management , pages=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Proceedings of the 18th ACM conference on Information and knowledge management , pages=

Reference 39

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source=arxiv_source observed=2026-08-03T13:30:05.702794Z digest=sha256:09c52f4520693bfebcc474e2b49f53d265f89dfba34cb2adae7d9c924cc85c44

Observation fda19c97-6f4d-44b2-b42c-10aaaaec118d · outbound

This paper cites Proceedings.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Proceedings

Reference 40

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no resolver link, observed 2026-08-03T13:30:05.797481Z

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source=arxiv_source observed=2026-08-03T13:30:05.797481Z digest=sha256:4f369499293cba38fa2e94639e4c8dea27150872bd2fc9d029bff49335ba109c

Observation 1ccc47a5-12d4-4e07-819e-ed4e0005eb67 · outbound

This paper cites IEEE/ACM Transactions On Networking , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction IEEE/ACM Transactions On Networking , volume=

Reference 41

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no resolver link, observed 2026-08-03T13:30:05.901254Z

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source=arxiv_source observed=2026-08-03T13:30:05.901254Z digest=sha256:e1fc571b6f95e6a72ff1e7f7674b07c1185b25b74c8bc05aba6fa570a6cac306

Observation 0c504413-f941-44b3-b55b-b965ba0e2e4c · outbound

This paper cites 24th International Conference on Distributed Computing Systems, 2004.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction 24th International Conference on Distributed Computing Systems, 2004

Reference 42

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no resolver link, observed 2026-08-03T13:30:05.963020Z

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source=arxiv_source observed=2026-08-03T13:30:05.963020Z digest=sha256:a99a35eb5e4f662417b1f61cd4ff9029c3efb3faed5314874b9d11e058f72876

Observation 7e832e9a-4482-4550-b6f8-b3ebff6da17f · outbound

This paper cites Proceedings of the 3rd ACM SIGCOMM Conference on Internet Measurement , pages=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Proceedings of the 3rd ACM SIGCOMM Conference on Internet Measurement , pages=

Reference 43

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no resolver link, observed 2026-08-03T13:30:06.052836Z

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source=arxiv_source observed=2026-08-03T13:30:06.052836Z digest=sha256:aa893fbbe1010a28e49f6c91ae6787638f1129e80869b1d22fc718f7ffb0f617

Observation 0e6f1708-83f8-4041-a275-5425914e96a9 · outbound

This paper cites ACM SIGCOMM Computer Communication Review , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction ACM SIGCOMM Computer Communication Review , volume=

Reference 44

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no resolver link, observed 2026-08-03T13:30:06.121551Z

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source=arxiv_source observed=2026-08-03T13:30:06.121551Z digest=sha256:655b56712659f3a3d037638e90552f9b8511bb5db59515628530ef864f10bd7c

Observation 5a4a1d49-112f-41d1-b058-5d326ac3905d · outbound

This paper cites Physical Review E , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Physical Review E , volume=

Reference 45

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no resolver link, observed 2026-08-03T13:30:06.219017Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-03T13:30:06.219017Z digest=sha256:8cfb3718fe94803b8e2e12c002169c8f19eb1b1f03e0e22a1cba0ca124301a5f

Observation bdfd5ad8-0cd9-48f4-8224-3b6a996cbbe5 · outbound

This paper cites Physical review E , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Physical review E , volume=

Reference 46

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no resolver link, observed 2026-08-03T13:30:06.313098Z

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source=arxiv_source observed=2026-08-03T13:30:06.313098Z digest=sha256:9e1c7fd1ee699b0c9b06f382027b2a369df24e7fea1a3bab93ef8b7d2a28ff1d

Observation 59960e54-4665-4c4c-bce3-0099328c1a59 · outbound

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

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Graph Neural Networks: Foundations, Frontiers, and Applications , pages=

Reference 47

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no resolver link, observed 2026-08-03T13:30:06.433617Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-03T13:30:06.433617Z digest=sha256:723a383cd37b609d46321b10d4d121911cefc4ba001a8cf4a25ba364f4599fa2

Observation 1bc39643-4c53-479c-bc3a-521828cdc916 · outbound

This paper cites Physical Review E , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Physical Review E , volume=

Reference 48

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no resolver link, observed 2026-08-03T13:30:06.579103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T13:30:06.579103Z digest=sha256:9636a9996aead6cb9983a279e7f3bb6bed6b1cd9f00c8f64bf2b3b51424beb6c

Observation d1f9db34-8dd0-4035-8f33-bd4f43d435da · outbound

This paper cites Reviews of modern physics , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Reviews of modern physics , volume=

Reference 49

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no resolver link, observed 2026-08-03T13:30:06.720679Z

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source=arxiv_source observed=2026-08-03T13:30:06.720679Z digest=sha256:a9577aa786f848535a2ca3c4e3b8b2268342315ad2d458a02a8e879d4901eee9

Observation 10115ca5-042f-4e8d-afd4-bc2036b8292c · outbound

This paper cites an unresolved cited work.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Unresolved cited work

Reference 50

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no resolver link, observed 2026-08-03T13:30:06.879125Z

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source=arxiv_source observed=2026-08-03T13:30:06.879125Z digest=sha256:33b11a6f7cba79cbef0bbdc3127b712592314497ba1125bb4e1d9ea6837f475d

Observation 4c7a5691-733d-4081-bb13-e69a68c1bccf · outbound

This paper cites Proceedings of the 39th International Conference on Machine Learning , pages =.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Proceedings of the 39th International Conference on Machine Learning , pages =

Reference 51

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no resolver link, observed 2026-08-03T13:30:07.001282Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-03T13:30:07.001282Z digest=sha256:610de88f192e8764281f9d20fb890f9abf57977aae186545943405b3b54907ee

Observation 68e48506-6730-4d3a-9b38-98e9e3b6eacd · outbound

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

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction International Conference on Learning Representations , year=

Reference 52

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no resolver link, observed 2026-08-03T13:30:07.114013Z

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source=arxiv_source observed=2026-08-03T13:30:07.114013Z digest=sha256:69a2e02229a7da81b4ba38d9f78c994ba06bc3966cfab2d4a59156fa5e815c5b

Observation 0fc899de-b7da-4a4a-9d0a-7e802cdb832b · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 53

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no resolver link, observed 2026-08-03T13:30:07.178619Z

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source=arxiv_source observed=2026-08-03T13:30:07.178619Z digest=sha256:2df9910eb6aca0e0214984ee7144b1f358981c11c11b0b9f7961e43969a0661d

Observation 8046c3c9-dea2-48d6-967a-0f94d9212db2 · outbound

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

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Advances in Neural Information Processing Systems , volume=

Reference 54

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no resolver link, observed 2026-08-03T13:30:07.329529Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-03T13:30:07.329529Z digest=sha256:4c3969099e533bf1e1656d35ce643657e3c2e78b9f17ac9d3305be73fef81354

Observation b8fb9900-1bfb-4a40-9be0-039f8e159536 · outbound

This paper cites 45th Annual IEEE Symposium on Foundations of Computer Science , pages=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction 45th Annual IEEE Symposium on Foundations of Computer Science , pages=

Reference 55

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no resolver link, observed 2026-08-03T13:30:07.371477Z

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source=arxiv_source observed=2026-08-03T13:30:07.371477Z digest=sha256:bfd96596884f6bd8d94103c34754d040a839df968e770a8e3686d5efd20b198d

Observation a997ae85-cee0-46ee-b49e-28be2bdab1fb · outbound

This paper cites Fast Graph Representation Learning with PyTorch Geometric.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Fast Graph Representation Learning with PyTorch Geometric

Reference 56

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no resolver link, observed 2026-08-03T13:30:07.509273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T13:30:07.509273Z digest=sha256:7edcc770b506d2d11af5d55c202c8c362db0446a92a33f98a4c951348e727934

Observation 80350157-de62-43a0-935d-581ea509b83e · outbound

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

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Proceedings of the ACM Web Conference 2022 , pages=

Reference 57

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no resolver link, observed 2026-08-03T13:30:07.628906Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-03T13:30:07.628906Z digest=sha256:d1bcd8f12c587ccf63830f2e61249bc49993c08aec63cf0ba2119527be9cd4f6

Observation becbdf14-0e3b-4d91-9e2b-898f870795fb · outbound

This paper cites Twenty-Second International Joint Conference on Artificial Intelligence , year=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Twenty-Second International Joint Conference on Artificial Intelligence , year=

Reference 58

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no resolver link, observed 2026-08-03T13:30:07.786858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T13:30:07.786858Z digest=sha256:a857c47af2ec22f8957dd91f6e953e534b74f74e764d002e38e4f0ed1810500b

Observation 1d0bcb86-ed1c-4d48-8dce-7e3520539a9b · outbound

This paper cites Proceedings of the twelfth international conference on Information and knowledge management , pages=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Proceedings of the twelfth international conference on Information and knowledge management , pages=

Reference 59

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no resolver link, observed 2026-08-03T13:30:07.905737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T13:30:07.905737Z digest=sha256:7f055e87e356d9cdf55224d1098e25e7fd169b47b7547fbe82b084b4704648c9

Observation 2d4bc35b-f5e9-42e7-8e2b-80230d248d19 · outbound

This paper cites Psychometrika , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Psychometrika , volume=

Reference 60

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no resolver link, observed 2026-08-03T13:30:08.030466Z

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source=arxiv_source observed=2026-08-03T13:30:08.030466Z digest=sha256:3b52d204dc484f8c3fd0b887a9d98df7248f277fad9bcc35f39d549d2eced7b6

Observation 2e7a23d5-cafc-40c6-a065-0208ace8b45a · outbound

This paper cites Physical review letters , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Physical review letters , volume=

Reference 61

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source=arxiv_source observed=2026-08-03T13:30:08.161180Z digest=sha256:791dc66fd382ad4ec1ebf545bb4541670b14042576e965716ea7f6da238a235b

Observation df244452-81fa-428b-940f-8320ed426ca5 · outbound

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

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction International Conference on Learning Representations , year=

Reference 62

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no resolver link, observed 2026-08-03T13:30:08.313715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T13:30:08.313715Z digest=sha256:ffccfb113f4c260e0feae5147036d24f572988690eef6a52c2e84ae83455c47f

Observation 9857901f-16ad-45d1-bb8e-406e0ce6d793 · outbound

This paper cites Benchmarking Graph Neural Networks.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Benchmarking Graph Neural Networks

Reference 63

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source=arxiv_source observed=2026-08-03T13:30:08.393805Z digest=sha256:59ec815df14ff9e0f519de897b185707390e4f39490dc731ec69b284c9c23d34

Observation b0a65185-dac5-4515-b6ad-83cbcf055662 · outbound

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

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Advances in Neural Information Processing Systems , volume=

Reference 64

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no resolver link, observed 2026-08-03T13:30:08.461149Z

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source=arxiv_source observed=2026-08-03T13:30:08.461149Z digest=sha256:8be69f95979d0ff16bdbee817cb624605e384618e1666a2921cab4d8567de88a

Observation b39390f6-84c4-4b2f-b436-c5870eab9e4a · outbound

This paper cites Annals of Mathematics , pages=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Annals of Mathematics , pages=

Reference 65

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no resolver link, observed 2026-08-03T13:30:08.531085Z

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source=arxiv_source observed=2026-08-03T13:30:08.531085Z digest=sha256:5d0b9d455cc7e225b3f6ee9961ab14b72f49aea03d297ed9c7e7426579b0503b

Observation 274cb899-236d-465c-a3ae-c3407ca677e1 · outbound

This paper cites AAAI Workshop on Deep Learning on Graphs: Methods and Applications , year=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction AAAI Workshop on Deep Learning on Graphs: Methods and Applications , year=

Reference 66

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no resolver link, observed 2026-08-03T13:30:08.586686Z

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source=arxiv_source observed=2026-08-03T13:30:08.586686Z digest=sha256:e2c320e9e8643c4f4a0410e343f2661d366ee927390b75507a335f7e7ceeafaa

Observation 21782d49-0f8b-452c-b7c0-42f84652ef2b · outbound

This paper cites Neural computation , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Neural computation , volume=

Reference 67

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no resolver link, observed 2026-08-03T13:30:08.648127Z

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source=arxiv_source observed=2026-08-03T13:30:08.648127Z digest=sha256:4a7a9beedc16bb00365afcdceee0531a85ada7981010421536f6ad439530bc71

Observation 49aca464-1f3d-4d3f-bfb5-d546a7abaf0a · outbound

This paper cites Computer science review , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Computer science review , volume=

Reference 68

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source=arxiv_source observed=2026-08-03T13:30:08.757044Z digest=sha256:e87f7e9414cf3d94389979091c939c9c5d3fe0f36c2d09b7c5ee610c8a42e146

Observation af8d67dd-6184-4200-9c99-d796e6c6f9f8 · outbound

This paper cites Journal of statistical mechanics: theory and experiment , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Journal of statistical mechanics: theory and experiment , volume=

Reference 69

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no resolver link, observed 2026-08-03T13:30:08.821104Z

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source=arxiv_source observed=2026-08-03T13:30:08.821104Z digest=sha256:dd9be8da44f90cf81acbbe653d346db983c910673c884b8fb368d27f1d718b81

Observation 67097f32-8570-4bf4-9da8-902794010bd7 · outbound

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

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction The Eleventh International Conference on Learning Representations , year=

Reference 70

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no resolver link, observed 2026-08-03T13:30:08.896988Z

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source=arxiv_source observed=2026-08-03T13:30:08.896988Z digest=sha256:decce6eef4914b6b5f40a1f1d554970643499ea8224ddeeb9ea1b2606860146c

Observation 0b3a5916-4ec8-461a-ae9a-e402f8eeb1be · outbound

This paper cites IEEE transactions on neural networks , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction IEEE transactions on neural networks , volume=

Reference 71

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no resolver link, observed 2026-08-03T13:30:08.964936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T13:30:08.964936Z digest=sha256:6e03b9ee864dbdf0931a4e33529b5000f5c663806715e12ed3a9b4fbaa35d25c

Observation f985845b-2bb3-4afd-8b35-c244b1854593 · outbound

This paper cites SIAM Journal on Applied Mathematics , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction SIAM Journal on Applied Mathematics , volume=

Reference 72

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source=arxiv_source observed=2026-08-03T13:30:09.031340Z digest=sha256:4422cbbd0c22b976a0147b9d0ddf06b855c33d02df4d09a4d0cf0b25bbfcf137

Observation e8034976-6193-47ab-86f7-a7e0d370fcde · outbound

This paper cites Physical review letters , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Physical review letters , volume=

Reference 73

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no resolver link, observed 2026-08-03T13:30:09.105808Z

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source=arxiv_source observed=2026-08-03T13:30:09.105808Z digest=sha256:197b639bc73251341d22551e91a0f255d90bc45cbd11c6dfd43bfa838efcc00d

Observation 444e6598-2dd3-4004-869e-8c625159e19d · outbound

This paper cites Journal of the ACM (JACM) , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Journal of the ACM (JACM) , volume=

Reference 74

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no resolver link, observed 2026-08-03T13:30:09.197157Z

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source=arxiv_source observed=2026-08-03T13:30:09.197157Z digest=sha256:830da4da06309319114bf85a7a1275d40e9f999667de150304e48268fc6d4044

Observation 25c24405-5e78-452e-8a9a-637b01e420e8 · outbound

This paper cites Proceedings of the ACM Web Conference 2023 , pages=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Proceedings of the ACM Web Conference 2023 , pages=

Reference 75

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no resolver link, observed 2026-08-03T13:30:09.331908Z

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source=arxiv_source observed=2026-08-03T13:30:09.331908Z digest=sha256:07567c0f7f24d60d8694de7007ea1673702e62478c5fdc24e35c635be7a6095a

Observation 1563d520-bf22-4175-884b-2b1e22002277 · outbound

This paper cites Proceedings of the Web Conference 2021 , pages=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Proceedings of the Web Conference 2021 , pages=

Reference 76

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source=arxiv_source observed=2026-08-03T13:30:09.420490Z digest=sha256:1084076b67d3a0a8fd20268b01c0e3e708875afa39027e4f2217da31016273c3

Observation a0dd38bd-e501-4e15-87e2-2cdb1a423516 · outbound

This paper cites Proceedings of the Web Conference 2021 , pages=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Proceedings of the Web Conference 2021 , pages=

Reference 77

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source=arxiv_source observed=2026-08-03T13:30:09.476965Z digest=sha256:31df681d00fcda81118408c5c0ee7649c2b43b82638eba8223f46c1bfdd06225

Observation 5877eb62-338d-49cc-9896-4240b490dc01 · outbound

This paper cites Proceedings of the Web Conference 2021 , pages=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Proceedings of the Web Conference 2021 , pages=

Reference 78

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source=arxiv_source observed=2026-08-03T13:30:09.562027Z digest=sha256:0ebb2731663ecd5b2405685588f156c073535fc5162bf3ffa5b979288610e926

Observation 909678ce-45f2-4fc7-b267-58f0beaccc61 · outbound

This paper cites nature , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction nature , volume=

Reference 79

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source=arxiv_source observed=2026-08-03T13:30:09.643064Z digest=sha256:f20649ca9a64081bdfe383d2f88ab817555324c385a7508cb11413c62c967dd6

Observation e45531df-f72b-43a3-a2eb-a8eb5209902c · outbound

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

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Advances in Neural Information Processing Systems , volume=

Reference 80

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no resolver link, observed 2026-08-03T13:30:09.712340Z

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source=arxiv_source observed=2026-08-03T13:30:09.712340Z digest=sha256:fa4a151b2df999cab93a432292dcea5770a768c1b404acc4e8f92cb18f37f870

Observation 1d9e2c26-0c96-4f6a-8626-f976d5c33290 · outbound

This paper cites Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining , pages=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining , pages=

Reference 81

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no resolver link, observed 2026-08-03T13:30:09.830874Z

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source=arxiv_source observed=2026-08-03T13:30:09.830874Z digest=sha256:e37743f48bf109acc135253de9d848fdef2eaac422cc49c4df2c041a241638a4

Observation c6200c7d-1323-4f2c-baa4-13569cb6ce31 · outbound

This paper cites , author=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction , author=

Reference 82

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no resolver link, observed 2026-08-03T13:30:09.961417Z

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source=arxiv_source observed=2026-08-03T13:30:09.961417Z digest=sha256:dd4c9d6e1981802497e054c40e8b67e7b54483089bf02820cb630f6d45e304a2

Observation f5926ea2-6428-41da-a53b-6ba0968e89f4 · outbound

This paper cites Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement , pages=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement , pages=

Reference 83

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no resolver link, observed 2026-08-03T13:30:10.055724Z

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source=arxiv_source observed=2026-08-03T13:30:10.055724Z digest=sha256:71c3be2c1bbe54c23d839498969afd7f23ef97979c558af231dd316f5a0d105e

Observation feb1e4f8-c5b9-4f2d-94ea-fdc90d1f5634 · outbound

This paper cites Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data , pages=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data , pages=

Reference 84

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no resolver link, observed 2026-08-03T13:30:10.152071Z

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source=arxiv_source observed=2026-08-03T13:30:10.152071Z digest=sha256:b465959006c97e8227010b1482c9f6ef7c86c91950ce40d922a480a251ae8ae3

Observation 2ec1eb86-6d7b-4ee0-9f54-c7c013f752c8 · outbound

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

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction IEEE Transactions on Knowledge and Data Engineering , volume=

Reference 85

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no resolver link, observed 2026-08-03T13:30:10.278527Z

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source=arxiv_source observed=2026-08-03T13:30:10.278527Z digest=sha256:3077656a1d587b4b56938768731b17ff7fe04197ee0ad368b47d7dffdcac6cad

Observation ac7939c1-076f-4694-acda-f650bdce8a96 · outbound

This paper cites Proceedings of the 20th ACM international conference on Information and knowledge management , pages=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Proceedings of the 20th ACM international conference on Information and knowledge management , pages=

Reference 86

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no resolver link, observed 2026-08-03T13:30:10.388866Z

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source=arxiv_source observed=2026-08-03T13:30:10.388866Z digest=sha256:7af53d86bd241d33cf4b2835b1e7cc4cc3bfdc76c72298902c482fce0b23a788

Observation edb5db38-c16f-4fd7-89bd-314b7087aaad · outbound

This paper cites 3rd Workshop on Online Social Networks (WOSN 2010) , year=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction 3rd Workshop on Online Social Networks (WOSN 2010) , year=

Reference 87

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no resolver link, observed 2026-08-03T13:30:10.510934Z

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source=arxiv_source observed=2026-08-03T13:30:10.510934Z digest=sha256:217d15640cee7e9b9777b2004feb962f621d859f155e2d6d4cb22e96c243a476

Observation 5cef704d-03b7-413f-b7dd-76547a1b5cb9 · outbound

This paper cites 1998 , institution=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction 1998 , institution=

Reference 88

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no resolver link, observed 2026-08-03T13:30:10.639286Z

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source=arxiv_source observed=2026-08-03T13:30:10.639286Z digest=sha256:0aec83e19ed3ffeee03f5e0e35a3ceb4e0f466d3c5c44a195a19cb1ca192c88b

Observation a0757853-1a99-4fb2-8d37-21e1dfc29851 · outbound

This paper cites Journal of Granular Computing , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Journal of Granular Computing , volume=

Reference 89

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source=arxiv_source observed=2026-08-03T13:30:10.730533Z digest=sha256:1ce65cf24c9d7d5bd27f177d6e58c03d9b00ff6b2e098ff3a37f036a3b404438

Observation 263bfccc-3987-40e5-b361-2275e0fe4e71 · outbound

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

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction IEEE Transactions on Knowledge and Data Engineering , volume=

Reference 90

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source=arxiv_source observed=2026-08-03T13:30:10.871138Z digest=sha256:4a4fd8d729906706d33cf0dbdcc502cc836668b3873e6f3e1134ccd17edef8b7

Observation f7e3b95e-2cad-4c76-805c-234ab86b1daf · outbound

This paper cites Physica A: statistical mechanics and its applications , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Physica A: statistical mechanics and its applications , volume=

Reference 91

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no resolver link, observed 2026-08-03T13:30:11.021878Z

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source=arxiv_source observed=2026-08-03T13:30:11.021878Z digest=sha256:c2f82dce85fde1f91ec8698f4b84db34d5e636570bd840f885486858e1530562

Observation b8c94437-09bd-48f9-b18a-6818bb7b2473 · outbound

This paper cites Annual review of sociology , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Annual review of sociology , volume=

Reference 92

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source=arxiv_source observed=2026-08-03T13:30:11.182786Z digest=sha256:88f0fb211872a8a9eae805b99dc153dc3af42e3db6d12f94ecfdd14e1370566a

Observation fe4d5ff8-36d1-42a9-9c90-067de1807c99 · outbound

This paper cites Social networks , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Social networks , volume=

Reference 93

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source=arxiv_source observed=2026-08-03T13:30:11.351138Z digest=sha256:323c1da4888057ff2c70d29407f4bfa34f62291439ef6f843d446bd061aa92b9

Observation 0f2d31eb-679e-4816-8478-ad6be02eab90 · outbound

This paper cites Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , pages=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , pages=

Reference 94

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source=arxiv_source observed=2026-08-03T13:30:11.446590Z digest=sha256:cdee77c43c1b5b5f45ea4c4fc73fa9045821a462aeb36051ad0e98b50beb66fe

Observation 0fe571fe-8dff-4596-9624-8ac1cf6a4310 · outbound

This paper cites The world wide web conference , pages=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction The world wide web conference , pages=

Reference 95

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source=arxiv_source observed=2026-08-03T13:30:11.567895Z digest=sha256:6253fd10760c7a82f6d036804076ea2781072ede72352fdb197611da1e6e5486

Observation f280fafc-78c4-4a8d-a7dc-3e81804e4c75 · outbound

This paper cites Proceedings of the IEEE , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Proceedings of the IEEE , volume=

Reference 96

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source=arxiv_source observed=2026-08-03T13:30:11.686317Z digest=sha256:10b746f7ecc93d59ce3387bf5c9e14ebc962cdc3c61a5a413484c77a377abc74

Observation 5a6f6d3d-03df-4098-8364-000d386f2c18 · outbound

This paper cites Journal of machine learning research , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Journal of machine learning research , volume=

Reference 97

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source=arxiv_source observed=2026-08-03T13:30:11.792031Z digest=sha256:1964be5e39d5e462cfe568860a73483ef9f16a2e8ea92cb1ebf8d80053899bce

Observation 15103aa5-301e-4c31-8f4c-b71c9e46f69c · outbound

This paper cites Bioinformatics , volume=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Bioinformatics , volume=

Reference 98

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source=arxiv_source observed=2026-08-03T13:30:11.912841Z digest=sha256:711090127a5517a669f8961c1f561bdb95362010bdb399b4b8b81509bb357d7d

Observation ab41ef28-6fb5-47fb-93e2-20181f7d0031 · outbound

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

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Advances in neural information processing systems , volume=

Reference 99

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no resolver link, observed 2026-08-03T13:30:12.050275Z

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source=arxiv_source observed=2026-08-03T13:30:12.050275Z digest=sha256:f33d2d3b46157e75926e4f06b72cc2169b84e2e5a3bfde7ada4444bdf042ff7d

Observation 4013d224-51ca-4fe5-9698-ade52e523136 · outbound

This paper cites Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery & data mining , pages=.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery & data mining , pages=

Reference 100

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no resolver link, observed 2026-08-03T13:30:12.213660Z

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source=arxiv_source observed=2026-08-03T13:30:12.213660Z digest=sha256:f12022b901dd17f1d0472ab1d41b55e70ed21bed525f4e09c4b92a391510a62b

Pith citing papers

No inbound Pith citation observations are available.