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 2026-08-18T06:34:40.430872+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

Resolution: unresolved; no resolver link, observed 2026-08-10T16:16:19.018178Z

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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

Resolution: verified exact; local_arxiv, observed 2026-08-10T16:16:19.833858Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T16:16:19.027419Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:16:20.321681Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T16:16:19.035443Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T16:16:19.040287Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:16:20.310064Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T16:16:19.047471Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:16:20.298406Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T16:16:19.055464Z

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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

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:16:20.279209Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T16:16:19.068714Z

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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

Resolution: verified exact; local_arxiv, observed 2026-08-10T16:16:19.761793Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T16:16:19.078050Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T16:16:19.082231Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T16:16:19.086393Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T16:16:19.090063Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T16:16:19.093447Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:16:20.236570Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:16:20.224475Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:16:20.211526Z

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Observation 29a6e1c9-3dd6-4761-a117-34f40f352ae7 · 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 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:16:20.200220Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:16:20.188405Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:16:20.145031Z

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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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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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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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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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:16:20.107682Z

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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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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

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

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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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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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:16:20.076528Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:16:20.063867Z

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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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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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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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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

Resolution: verified exact; raw_fallback, observed 2026-08-10T16:16:19.614330Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:16:20.045336Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:16:20.032307Z

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

Reference 57

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

Reference 58

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

Reference 59

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Reference 60

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:16:19.960027Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:16:19.948849Z

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

Reference 63

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

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:16:19.918699Z

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

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:16:19.907738Z

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

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:16:19.896741Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:16:19.885907Z

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

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

Reference 71

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

Reference 72

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Reference 73

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

Reference 74

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Pith citing papers

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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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