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Paper Citation Record · LEDGER

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks

As of 19 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 2 inbound Pith citation observations for arXiv:2501.13456.

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

pith.paper-citation-record.v1
2501.13456 v4

Coverage vector

measured 74 of 74 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:16:19.304287Z

measured 76 of 76 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:29:48.083661Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:37:59.163116Z

Reference resolution

74 of 74 outbound references displayed

  • verified exact4
  • verified fuzzy29
  • unresolved41
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e35f6013-b133-4222-a040-47a862151658 · outbound

This paper cites DeepOKAN: Deep Operator Network Based on Kolmogorov Arnold Networks for Mechanics Problems.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks DeepOKAN: Deep Operator Network Based on Kolmogorov Arnold Networks for Mechanics Problems

Reference 1

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Observation 5d8c942a-9ef8-449e-bfa1-311d18ef80e8 · outbound

This paper cites DropKAN: Regularizing KANs by masking post-activations.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks DropKAN: Regularizing KANs by masking post-activations

Reference 2

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Observation 5b7a9e8a-0155-4e23-b474-f8e830084501 · outbound

This paper cites Rethinking the Function of Neurons in KANs.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Rethinking the Function of Neurons in KANs

Reference 3

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Observation 6889b1ab-38bd-4c3d-8c89-9adbea43d2e2 · outbound

This paper cites Wav-KAN: Wavelet Kolmogorov-Arnold Networks.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Wav-KAN: Wavelet Kolmogorov-Arnold Networks

Reference 4

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Observation ebab95c2-831f-4a3a-a101-dc7aeb2fc6eb · outbound

This paper cites On a constructive proof of kolmogorov’s superposition theorem.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks On a constructive proof of kolmogorov’s superposition theorem

Reference 5

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Observation adb5bf8d-9f2c-4e3f-9b14-ad7209b941b9 · outbound

This paper cites KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning

Reference 6

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Observation d6a116fa-6054-42bc-b33f-d0586e31a0de · outbound

This paper cites How Attentive are Graph Attention Networks?.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks How Attentive are Graph Attention Networks?

Reference 7

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Observation f3466578-464a-4066-844e-e16a53707901 · outbound

This paper cites A survey on graph neural networks and graph transformers in computer vision: A task-oriented perspective.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks A survey on graph neural networks and graph transformers in computer vision: A task-oriented perspective

Reference 8

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Observation d2c47016-4e14-4e1f-b721-53139e174e8f · outbound

This paper cites NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs

Reference 9

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Observation 7814f3bf-6357-400b-b6b2-31e0d1b73325 · outbound

This paper cites Cfgat: A coarse-to-fine graph attention network for semi-supervised node classification.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Cfgat: A coarse-to-fine graph attention network for semi-supervised node classification

Reference 10

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Observation 4903cf95-15b0-4d13-b153-7b6761ea78e1 · outbound

This paper cites Approximation by superpositions of a sigmoidal function.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Approximation by superpositions of a sigmoidal function

Reference 11

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Observation a8ef4a3f-3dd3-422f-9ec5-6167008db9cd · outbound

This paper cites an unresolved cited work.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Unresolved cited work

Reference 12

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Observation 83788bcd-3fd1-4f0f-9599-222d561551f5 · outbound

This paper cites Kolmogorov-Arnold Graph Neural Networks.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Kolmogorov-Arnold Graph Neural Networks

Reference 13

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Observation daba3b87-561d-4747-8c4b-8a16fff4fca9 · outbound

This paper cites A Generalization of Transformer Networks to Graphs.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks A Generalization of Transformer Networks to Graphs

Reference 14

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Observation a706d912-c969-4b85-b186-226961f7133b · outbound

This paper cites Exploring Correlations of Self-Supervised Tasks for Graphs.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Exploring Correlations of Self-Supervised Tasks for Graphs

Reference 15

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4112cbd1-9c3e-43f2-ba4f-e91d0187fd6b · outbound

This paper cites TKAN: Temporal Kolmogorov-Arnold Networks.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks TKAN: Temporal Kolmogorov-Arnold Networks

Reference 16

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Observation 4681d055-6734-4338-9bc8-6d4fd32f8fdb · outbound

This paper cites Automatic chemical design using a data-driven continuous representation of molecules.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Automatic chemical design using a data-driven continuous representation of molecules

Reference 17

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Observation d225e40f-7907-4989-a317-0dcab79f3f70 · outbound

This paper cites Inductive representation learning on large graphs.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Inductive representation learning on large graphs

Reference 18

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Observation 5ebc66db-0ffd-4142-a1cd-d585e5b946b0 · outbound

This paper cites Approximation capabilities of multilayer feedforward networks.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Approximation capabilities of multilayer feedforward networks

Reference 19

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Observation 557bd984-919a-4e6c-98c1-f2caf660bc1b · outbound

This paper cites Open graph benchmark: Datasets for machine learning on graphs.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Open graph benchmark: Datasets for machine learning on graphs

Reference 20

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Observation e52f0033-789e-42ba-bf15-684191d4acfb · outbound

This paper cites Can modifying data address graph domain adaptation? In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp.\ 1131--1142, 2024.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Can modifying data address graph domain adaptation? In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp.\ 1131--1142, 2024

Reference 21

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Observation 29b44c0c-31e0-4985-a508-76a0d2e77d20 · outbound

This paper cites Extracting training data from molecular pre-trained models.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Extracting training data from molecular pre-trained models

Reference 22

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Observation 29552b67-086a-456a-997b-ce1330d2bbd7 · outbound

This paper cites Understanding Isomorphism Bias in Graph Data Sets.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Understanding Isomorphism Bias in Graph Data Sets

Reference 23

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Observation 29ff15a2-71aa-40af-a1e3-960e13fe5153 · outbound

This paper cites Semi-supervised learning with graph learning-convolutional networks.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Semi-supervised learning with graph learning-convolutional networks

Reference 24

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Observation 29a6e1c9-3dd6-4761-a117-34f40f352ae7 · outbound

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KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Semi-supervised learning with graph learning-convolutional networks

Reference 25

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Observation 44e1fdfb-7b2c-4aab-8d62-b6e1c3078cc1 · outbound

This paper cites GKAN: Graph Kolmogorov-Arnold Networks.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks GKAN: Graph Kolmogorov-Arnold Networks

Reference 26

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Observation c839b1a8-edce-4c70-9c68-e65682e1a477 · outbound

This paper cites How to find your friendly neighborhood: Graph attention design with self-supervision.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks How to find your friendly neighborhood: Graph attention design with self-supervision

Reference 27

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Observation f8a77ef9-10d3-4184-ba3c-ac9f63d73ebe · outbound

This paper cites Variational Graph Auto-Encoders.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Variational Graph Auto-Encoders

Reference 28

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Observation 771fba69-a0b4-4488-8fdf-a4634b0fcab4 · outbound

This paper cites Semi-supervised classification with graph convolutional networks.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Semi-supervised classification with graph convolutional networks

Reference 29

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Observation 063b1ec9-b893-4c29-ad07-e85345321895 · outbound

This paper cites On the representation of continuous functions of many variables by superposition of continuous functions of one variable and addition.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks On the representation of continuous functions of many variables by superposition of continuous functions of one variable and addition

Reference 30

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Observation c4f2a7c8-728f-4c42-9e65-58271fefaeb6 · outbound

This paper cites On circulant matrices.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks On circulant matrices

Reference 31

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Observation 4bff9bab-afd4-4150-b933-f3990490fc0a · outbound

This paper cites Rethinking graph transformers with spectral attention.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Rethinking graph transformers with spectral attention

Reference 32

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Observation 3302a1bf-e1dd-4b71-9dc2-693613a822be · outbound

This paper cites Exploring the Limitations of Kolmogorov-Arnold Networks in Classification: Insights to Software Training and Hardware Implementation.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Exploring the Limitations of Kolmogorov-Arnold Networks in Classification: Insights to Software Training and Hardware Implementation

Reference 33

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Observation b9e5ff67-647d-4bbf-b221-b690be8712b0 · outbound

This paper cites Kolmogorov-Arnold Networks are Radial Basis Function Networks.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Kolmogorov-Arnold Networks are Radial Basis Function Networks

Reference 34

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Observation 75bdc829-4b98-425a-949d-566350281d2c · outbound

This paper cites Graph embedding with hierarchical attentive membership.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Graph embedding with hierarchical attentive membership

Reference 35

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b718e920-580b-4859-aee6-1cd8ccec94f2 · outbound

This paper cites KAN 2.0: Kolmogorov-Arnold Networks Meet Science.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks KAN 2.0: Kolmogorov-Arnold Networks Meet Science

Reference 36

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source=arxiv_source observed=2026-08-10T16:16:19.153241Z digest=sha256:adc99857b6f0cf2d9694d610d32c5404c550bea8d73deb0edea9275203aa9f87

Observation 8ad520b9-d57d-43db-836b-4f322aa0f97a · outbound

This paper cites KAN: Kolmogorov-Arnold Networks.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks KAN: Kolmogorov-Arnold Networks

Reference 37

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source=arxiv_source observed=2026-08-10T16:16:19.157111Z digest=sha256:9d2f2714a58648a3391d5157876aab923584b4298b97b0affeef3d0fdac2250c

Observation 614b0d69-c12a-4897-95b9-ae77d5458dd4 · outbound

This paper cites Universal graph transformer self-attention networks.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Universal graph transformer self-attention networks

Reference 38

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raw_fallback, observed 2026-08-10T16:16:20.120030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T16:16:19.160949Z digest=sha256:cdf0a9a9a1cdf7e6cf7a6225c50acbbda75571ea1ab084d13ba3f95bb359dc2f

Observation a2386022-f0f4-4604-8183-85050637a85b · outbound

This paper cites A simple and practical review of over-fitting in neural network learning.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks A simple and practical review of over-fitting in neural network learning

Reference 39

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raw_fallback, observed 2026-08-10T16:16:20.107682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T16:16:19.164891Z digest=sha256:5a19a4ae354b5a81bed5e63d0139829bdb8d47d11036fc72e40fd739d9bc2e99

Observation 18d0d564-2371-408a-8643-0492958f9482 · outbound

This paper cites Deepinf: Social influence prediction with deep learning.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Deepinf: Social influence prediction with deep learning

Reference 40

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source=arxiv_source observed=2026-08-10T16:16:19.168672Z digest=sha256:c9d2ca5535f1e8a7b2245e2762fbc91b3f89c057129b8875eda9b0a872433a6f

Observation 67c3a182-33bd-485d-89b4-01483fb57120 · outbound

This paper cites A distributed approach to node clustering in decentralized peer-to-peer networks.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks A distributed approach to node clustering in decentralized peer-to-peer networks

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-10T16:16:20.087810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T16:16:19.172557Z digest=sha256:c8fa82530ae128549daeaaba48e88d84b6211b43c4c64253db0ae03843062d73

Observation 162199e3-fbb9-4c97-90c9-dbfbeadda737 · outbound

This paper cites GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks

Reference 42

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source=arxiv_source observed=2026-08-10T16:16:19.176019Z digest=sha256:5be39d7536c7621e30f9842598eb1f8f58baff36605f3da9fa870b533cad23d0

Observation 55760df3-cd2f-4995-947d-5c48aec4279a · outbound

This paper cites Adaptive Training of Grid-Dependent Physics-Informed Kolmogorov-Arnold Networks.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Adaptive Training of Grid-Dependent Physics-Informed Kolmogorov-Arnold Networks

Reference 43

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source=arxiv_source observed=2026-08-10T16:16:19.180300Z digest=sha256:b1b40a84f282a9af190f3ff1cee978aecb1b7bb674ead3f0a6e4f5f0c3e5240c

Observation 3a6f25bd-f09a-4740-aa42-768e4f85295c · outbound

This paper cites Self-supervised graph transformer on large-scale molecular data.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Self-supervised graph transformer on large-scale molecular data

Reference 44

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raw_fallback, observed 2026-08-10T16:16:20.076528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T16:16:19.184306Z digest=sha256:5a1c4d7dd234cd1a5a299556e3f357146a8ce7f72b8ec0aac59b956167165b21

Observation 5f7ef963-16ac-4389-a561-62ac4a8154a1 · outbound

This paper cites Vlp-kan: Low-complexity and interpretable rss-based vlp using kolmogorov-arnold networks.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Vlp-kan: Low-complexity and interpretable rss-based vlp using kolmogorov-arnold networks

Reference 45

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raw_fallback, observed 2026-08-10T16:16:20.063867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T16:16:19.187921Z digest=sha256:bf1da95e3b1e979bfd473accb2d3076f2f7fb558141f9a2b907ce9cca3d6d554

Observation 9bda575d-096e-4a50-852c-c6e0f9e129e4 · outbound

This paper cites Collective classification in network data.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Collective classification in network data

Reference 46

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T16:16:19.191434Z digest=sha256:c2e9dd84395cf835c3aa2dec7d719f21b3d49331b21a2230d7dc44eab0863949

Observation 37b87245-d74f-4a4e-a29a-461254405417 · outbound

This paper cites Pitfalls of Graph Neural Network Evaluation.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Pitfalls of Graph Neural Network Evaluation

Reference 47

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source=arxiv_source observed=2026-08-10T16:16:19.195096Z digest=sha256:8917ae078df36664a9c8e3f4208165ef02ba62fd566e034b1abacf2d56d604cf

Observation b2037c1e-fa73-453e-8c74-2713654c12ca · outbound

This paper cites Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification

Reference 48

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source=arxiv_source observed=2026-08-10T16:16:19.199176Z digest=sha256:aa963b6c3f06275625d7f61fa8d6d26880bb2cc8910e90ec4bf14eb38e231c7b

Observation a8e496f1-7776-4d30-80b0-174e08df1e34 · outbound

This paper cites Beyond kan: Introducing karsein for adaptive high-order feature interaction modeling in ctr prediction.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Beyond kan: Introducing karsein for adaptive high-order feature interaction modeling in ctr prediction

Reference 49

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raw_fallback, observed 2026-08-10T16:16:19.614330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T16:16:19.203315Z digest=sha256:6f706bbc9c0dfd706f99d12bc47b16d975bedd36cb4ffc9d512fdb24c2998d0b

Observation 5cab61eb-59f2-4173-bb6e-e5d18ad9d9ce · outbound

This paper cites Attention-based graph neural networks: a survey.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Attention-based graph neural networks: a survey

Reference 50

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raw_fallback, observed 2026-08-10T16:16:20.045336Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T16:16:19.206854Z digest=sha256:ecc52f7df32b817cc522eb89b046a47d3c209514c43cdaa5b1b0c0129fa1e467

Observation 9eabcafc-8815-4040-a3c7-19df91c5aed5 · outbound

This paper cites Beyond homophily: Structure-aware path aggregation graph neural network.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Beyond homophily: Structure-aware path aggregation graph neural network

Reference 51

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raw_fallback, observed 2026-08-10T16:16:20.032307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T16:16:19.210962Z digest=sha256:fd151de86c3f542a75b2f3b541a966e2cf323cb7e94d423e1dcd56e925f20365

Observation 34694cf6-1e86-4ee4-9538-0ba73a5ec0a5 · outbound

This paper cites Fine-tuning graph neural networks by preserving graph generative patterns.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Fine-tuning graph neural networks by preserving graph generative patterns

Reference 52

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raw_fallback, observed 2026-08-10T16:16:20.019506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T16:16:19.214806Z digest=sha256:ef40a4d2da83cc37f8da19771c1ed5785550190d9d79a5e96045b5e0e70b3679

Observation a760e85d-8de7-4dc8-998e-2037054673ba · outbound

This paper cites Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N

Reference 53

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source=arxiv_source observed=2026-08-10T16:16:19.218465Z digest=sha256:22aa5e7a8d97a82ea558a0c96af5d1aab63d5ad0cd9fd1d46aa0f0dd587ba971

Observation 64c5095b-2e24-42db-bb94-196be6895fd7 · outbound

This paper cites Graph attention networks.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Graph attention networks

Reference 54

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raw_fallback, observed 2026-08-10T16:16:19.998900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T16:16:19.221942Z digest=sha256:416aff8732a122dcf9cdbd387f7d2afbdffedfe82dfc5a9fba96d81ea7446f39

Observation 8975452e-ec76-497b-b15f-4e50f9bbcca6 · outbound

This paper cites Improving Graph Attention Networks with Large Margin-based Constraints.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Improving Graph Attention Networks with Large Margin-based Constraints

Reference 55

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source=arxiv_source observed=2026-08-10T16:16:19.225639Z digest=sha256:c1e3edcd5622f90618570a7518e6eec5c19f2fbea5ad2b0dcb226976de9b35fd

Observation 25f02652-0482-49a6-b87f-afcd343f2da5 · outbound

This paper cites Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving forward and inverse problems based on Kolmogorov Arnold Networks.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving forward and inverse problems based on Kolmogorov Arnold Networks

Reference 56

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source=arxiv_source observed=2026-08-10T16:16:19.229585Z digest=sha256:ec354bb84cc136ca1ca8fcb9e14021f9ff0746867abe8e6df7bd763b76105b51

Observation 8476c73b-69d3-4592-871b-1b4deb5317d9 · outbound

This paper cites RoPINN: Region Optimized Physics-Informed Neural Networks.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks RoPINN: Region Optimized Physics-Informed Neural Networks

Reference 57

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local_arxiv, observed 2026-08-10T16:16:19.505050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T16:16:19.233449Z digest=sha256:43269539569656989cc06b85d3178079b549ea2b42ae8a3feab9fe42ec57e2bd

Observation 200460cc-f24f-4fce-abcf-ff84013d43f7 · outbound

This paper cites Simplifying and empowering transformers for large-graph representations.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Simplifying and empowering transformers for large-graph representations

Reference 58

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raw_fallback, observed 2026-08-10T16:16:19.988725Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T16:16:19.237550Z digest=sha256:572b5551b7fce0e457db7ea78bb8e17809671eba3fbcb48831014aa55a2cf9b2

Observation 84b115b0-f777-42fb-83b0-21275ad6aa59 · outbound

This paper cites Moleculenet: a benchmark for molecular machine learning.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Moleculenet: a benchmark for molecular machine learning

Reference 59

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source=arxiv_source observed=2026-08-10T16:16:19.241779Z digest=sha256:e474db107bf8a7eac07c8a4170932be276c1e729a27ad0e6d3539809b1184520

Observation fefbc4af-476c-473f-88d8-6be82197c05c · outbound

This paper cites an unresolved cited work.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Unresolved cited work

Reference 60

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T16:16:19.245977Z digest=sha256:0c01451ed93680362e586b10c82212012148e8a8fbc76bae97a8dfcd72822d94

Observation 12eb5047-7730-4f38-8459-acb1c3cbcf46 · outbound

This paper cites Knowledge-enhanced hierarchical graph transformer network for multi-behavior recommendation.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Knowledge-enhanced hierarchical graph transformer network for multi-behavior recommendation

Reference 61

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raw_fallback, observed 2026-08-10T16:16:19.960027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T16:16:19.250566Z digest=sha256:0dfc244f9486f1fd5e370e03f16fb99edeb9ba6bf94adb16a6569867ba22dae3

Observation 45036c0e-bb84-4267-9eca-188f17566d58 · outbound

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

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks How powerful are graph neural networks? ICLR, 2019

Reference 62

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raw_fallback, observed 2026-08-10T16:16:19.948849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T16:16:19.254194Z digest=sha256:2f18c51ff047c6b9009be091560a2c04d5827419a3c0d30be03b9ad5c700d6d7

Observation fabcbe46-47e1-4c7d-ab7a-13e9afd69e7b · outbound

This paper cites Diverse message passing for attribute with heterophily.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Diverse message passing for attribute with heterophily

Reference 63

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raw_fallback, observed 2026-08-10T16:16:19.937016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T16:16:19.258403Z digest=sha256:7f31e0ff5bb9586388f547f4121a5513502dcc98e65936d973bb8b56bd84835d

Observation c9f464d4-959f-490c-9904-3b47ebb3e446 · outbound

This paper cites Do transformers really perform badly for graph representation? Advances in neural information processing systems, 34: 0 28877--28888, 2021.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Do transformers really perform badly for graph representation? Advances in neural information processing systems, 34: 0 28877--28888, 2021

Reference 64

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source=arxiv_source observed=2026-08-10T16:16:19.263201Z digest=sha256:19457c87a89c6610ed1a5b42ba5cb9e206efc754df6286d4b8176428cff158ed

Observation d23d15eb-93bd-453b-91a1-5d67f82713e3 · outbound

This paper cites Graph convolutional neural networks for web-scale recommender systems.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Graph convolutional neural networks for web-scale recommender systems

Reference 65

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raw_fallback, observed 2026-08-10T16:16:19.918699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T16:16:19.267448Z digest=sha256:fcee5fa2dea731e5b8249940b5f56d0e03e7cd95cd319a6885a45ac35abb576b

Observation 4230d18c-2b5a-42d5-9903-d2196427322e · outbound

This paper cites Hype-han: Hyperbolic hierarchical attention network for semantic embedding.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Hype-han: Hyperbolic hierarchical attention network for semantic embedding

Reference 66

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raw_fallback, observed 2026-08-10T16:16:19.907738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T16:16:19.271801Z digest=sha256:b9b657c3ecb50c972bf00b0b4b7b6ad55c2227c9928175ab00985b98c4794d41

Observation c38f4847-432f-44ec-a54d-e6c300c1db93 · outbound

This paper cites GraphKAN: Enhancing Feature Extraction with Graph Kolmogorov Arnold Networks.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks GraphKAN: Enhancing Feature Extraction with Graph Kolmogorov Arnold Networks

Reference 67

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T16:16:19.276332Z digest=sha256:b66d303d83fddbb381fb69300be78dd1d5f57789fe34e57b6f54398815d9e9ac

Observation 7775e658-4060-4989-beda-b3ff03389d41 · outbound

This paper cites Graph-Bert: Only Attention is Needed for Learning Graph Representations.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Graph-Bert: Only Attention is Needed for Learning Graph Representations

Reference 68

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:16:19.280045Z digest=sha256:f2bc6d3bb73826baeb2dbb09c8c18ecbf6d313e4fdfbbfc76946943f84161d7d

Observation 77baf075-7cb1-4f0e-a2ae-9bb8994667f2 · outbound

This paper cites Hyperbolic graph attention network.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Hyperbolic graph attention network

Reference 69

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raw_fallback, observed 2026-08-10T16:16:19.896741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T16:16:19.284421Z digest=sha256:5e6289f165cc92edb3de69c3bef984e1fb9431cc59478d41a081bf7d1c00bcfa

Observation 499284f9-28f5-4927-a86e-9e977f0397c4 · outbound

This paper cites Predicting multicellular function through multi-layer tissue networks.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Predicting multicellular function through multi-layer tissue networks

Reference 70

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raw_fallback, observed 2026-08-10T16:16:19.885907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T16:16:19.288110Z digest=sha256:a61ea9e17fcbac917e10a9a75a1d9034be0e9d9ad1e2bd7fced1cdedb5f39fce

Observation 06354164-b435-4c82-a299-5ed23e39ee56 · outbound

This paper cites write newline.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks write newline

Reference 71

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a6a951fc-d3cb-49e8-8c6e-95cfcef5363f · outbound

This paper cites @esa (Ref.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks @esa (Ref

Reference 72

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KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Unresolved cited work

Reference 73

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This paper cites ,s 8c A&/WT 7.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks ,s 8c A&/WT 7

Reference 74

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Pith citing papers

Observation a534827a-4774-4975-98b7-807b95cdf1df · inbound

Khan-GCL: Kolmogorov-Arnold Network Based Graph Contrastive Learning with Hard Negatives cites this paper.

Khan-GCL: Kolmogorov-Arnold Network Based Graph Contrastive Learning with Hard Negatives KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks

Reference 12

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Observation a7e1789b-141f-41f3-9c47-06c58f652cef · inbound

Improving Memory Efficiency for Training KANs via Meta Learning cites this paper.

Improving Memory Efficiency for Training KANs via Meta Learning KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks

Reference 1990

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