Paper Citation Record · LEDGER

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning

As of 13 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2411.15458.

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

pith.paper-citation-record.v1
2411.15458 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:21:57.619081Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

50 of 50 outbound references displayed

verified exact3
verified fuzzy32
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4a138e38-300a-4007-a057-d333b4f7af23 · outbound

This paper cites write newline.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T14:21:56.962587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f14e9643-3168-41b5-9968-c7ac1d90f14c · outbound

This paper cites write newline.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T14:21:57.055597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ef73c91-305b-4ed2-82ec-4a26aba1017a · outbound

This paper cites write newline.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning write newline

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T14:21:57.076822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48c28f1b-9b40-46fc-9bec-71491cf8181b · outbound

This paper cites an unresolved cited work.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:22:00.158358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ad627477-26c4-4cea-93b4-e84bfaa7de84 · outbound

This paper cites Longformer: The Long-Document Transformer.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning Longformer: The Long-Document Transformer

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T14:21:57.111345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fa55857-c5d1-45a3-adad-8772bac4b9ee · outbound

This paper cites , author Nasiri, E.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Nasiri, E

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:00.110336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 49e591af-7ce4-4fb3-977d-1f54164ffc7c · outbound

This paper cites , author Nasiri, E.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Nasiri, E

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:00.064110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 701d5d8e-27f4-4693-baf6-988f25622e08 · outbound

This paper cites , author Alon, U.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Alon, U

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:00.017957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 810302cf-a2f1-4104-b2e5-485e696f1101 · outbound

This paper cites , & author Musco, C.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , & author Musco, C

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T14:21:57.162382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 480618bd-c79e-454c-a84c-d70259149d9f · outbound

This paper cites , author Lin, Y.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Lin, Y

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:59.970595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4faaaa78-74eb-46ee-b13b-6e3e499a371a · outbound

This paper cites , author O’Bray, L.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author O’Bray, L

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:59.934530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 06193352-19a0-4834-85ae-232703e9efa8 · outbound

This paper cites , author Gao, K.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Gao, K

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:59.867584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1eb696e2-be49-42d7-a6d1-600d9191082a · outbound

This paper cites , author Feldman, S.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Feldman, S

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T14:21:57.210425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bd5e061-381e-4b90-92ee-2b14b39d9243 · outbound

This paper cites an unresolved cited work.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:21:59.799577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation eb6ad3af-e7df-4df9-873b-9353f3defab0 · outbound

This paper cites , author Denoyer, L.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Denoyer, L

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:59.776718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ddb4cdd5-37cb-4059-91c2-44f7e543140a · outbound

This paper cites , & author Leskovec, J.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , & author Leskovec, J

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T14:21:57.237451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed6da2fb-1eff-46a4-af4d-d2253ac0ea24 · outbound

This paper cites an unresolved cited work.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:21:59.748720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c66fc1ea-346b-4556-b77a-cdded45efe79 · outbound

This paper cites an unresolved cited work.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:21:59.724925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0dfbcaf6-8ea3-488b-8783-7a3b7a313d3b · outbound

This paper cites , author Zhang, Y.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Zhang, Y

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:59.690943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 622c293d-0bb0-4f4e-8f03-19c68c2a4199 · outbound

This paper cites an unresolved cited work.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:21:59.654139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation de548a09-e1cb-40f1-b9f2-b1bd575421eb · outbound

This paper cites , author Liu, Z.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Liu, Z

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:59.617799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ae8ab415-1682-405b-9d5a-d3541966d258 · outbound

This paper cites , & author Hinton, G.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , & author Hinton, G

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:59.580985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cbfa50eb-fce0-4cdc-8bd9-67eb2a565afc · outbound

This paper cites Transformer for Graphs: An Overview from Architecture Perspective.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning Transformer for Graphs: An Overview from Architecture Perspective

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T14:21:57.315733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c3a077e-4b7a-4fe8-bc7b-0da56c1f98fe · outbound

This paper cites , author Wenkel, F.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Wenkel, F

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:59.517862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 52865ec4-33b7-4ef2-942a-3f551900f0c2 · outbound

This paper cites , author Ragazzi, L.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Ragazzi, L

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:59.469482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8ee71c97-0f7d-4fa0-8bac-8fbec0a38f4f · outbound

This paper cites , author Hieu, N.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Hieu, N

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:59.421062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dc8ac464-de48-4425-89a0-f0bece626d1a · outbound

This paper cites , author Al-Rfou, R.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Al-Rfou, R

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:59.358324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 195b05ec-4737-4854-afc5-061bf070967d · outbound

This paper cites , author Dral, P.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Dral, P

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:59.324657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e51a2d38-5c6f-431d-9a3f-9ab967dd3728 · outbound

This paper cites , & author F \"a rber, M.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , & author F \"a rber, M

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:59.267484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e45208fb-c4e5-4aaf-a5ea-71eec79d38c9 · outbound

This paper cites , author Krause, J.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Krause, J

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:59.228140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3aa8e363-3af2-40f7-9b5c-9a7f88e55756 · outbound

This paper cites , author Namata, G.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Namata, G

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:59.161075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8dc506fd-ac45-492b-bde4-15c4163061b1 · outbound

This paper cites , author Aggarwal, C.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Aggarwal, C

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:59.123726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e76dc6ef-0a3a-4df5-85d5-81b2c3c6bdcd · outbound

This paper cites , author Qu, M.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Qu, M

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:59.063859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 05e3f434-3e96-46d3-96ea-eb5ec15c432e · outbound

This paper cites , author Shazeer, N.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Shazeer, N

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T14:21:57.414804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1d1ee51-bfbd-49e0-920c-466a2cfcf203 · outbound

This paper cites , author Cucurull, G.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Cucurull, G

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:58.976068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 64d13b13-6fd5-44a4-b374-8fe75ca45ef3 · outbound

This paper cites Word Shape Matters: Robust Machine Translation with Visual Embedding.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning Word Shape Matters: Robust Machine Translation with Visual Embedding

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:21:58.202526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0b345027-19f0-4e48-a71c-7a9532d3c626 · outbound

This paper cites , author Souza, A.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Souza, A

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:58.920098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6fd4a217-1876-419f-9fc3-ee9c886c1abe · outbound

This paper cites , author Zhao, W.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Zhao, W

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:58.870024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 43538f2f-78fd-43ef-8411-755ed4800244 · outbound

This paper cites , author Zhao, W.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Zhao, W

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:58.815315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 802da4ab-9ff4-40d1-92fe-6df6da5f9194 · outbound

This paper cites , author Hu, W.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Hu, W

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:58.784327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a0bb34ab-2498-4a04-b389-9b36d099d013 · outbound

This paper cites , author Li, C.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Li, C

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:58.758394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ae58e206-2f6c-4434-83bf-5c45f6a90bdf · outbound

This paper cites , author Dai, W.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Dai, W

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T14:21:57.504988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb252692-e73c-4441-a359-f6edd91ea832 · outbound

This paper cites , author Cai, T.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Cai, T

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:58.727727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 75d88456-ea0d-48f3-b374-28271f748824 · outbound

This paper cites , author Dai, W.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Dai, W

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:58.696773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9613ed33-780b-4b5c-9ce4-34dcfff2f64c · outbound

This paper cites , author Dai, W.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Dai, W

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:58.667538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b21855af-f3be-4ef4-a5c7-3266862bfc64 · outbound

This paper cites , & author Hua, B.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , & author Hua, B

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:58.638734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bf10a986-e7c4-4ebf-bf91-ec347082d148 · outbound

This paper cites , author Ren, X.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Ren, X

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:58.612825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9df7df0b-6ac4-4d23-b26e-80b9cdfeafa4 · outbound

This paper cites TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:21:57.737313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7cf26937-56f3-4753-b066-c8b7f4492447 · outbound

This paper cites , author Ma, S.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning , author Ma, S

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:21:58.581599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5187b37f-2626-4f47-afc5-7b796a6b2ff6 · outbound

This paper cites Graph Neural Networks with Feature and Structure Aware Random Walk.

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning Graph Neural Networks with Feature and Structure Aware Random Walk

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:21:57.866037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.