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

23 January 2025

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

46 / 46 papers shown

Title
KAN 2.0: Kolmogorov-Arnold Networks Meet Science Ziming Liu Pingchuan Ma Yixuan Wang Wojciech Matusik Max Tegmark 129 75 0 19 Aug 2024
Rethinking the Function of Neurons in KANs Mohammed Ghaith Altarabichi 102 6 0 30 Jul 2024
Can Modifying Data Address Graph Domain Adaptation? Renhong Huang Jiarong Xu Xin Jiang Ruichuan An Yang Yang OOD 119 6 0 27 Jul 2024
Exploring the Limitations of Kolmogorov-Arnold Networks in Classification: Insights to Software Training and Hardware Implementation Van Duy Tran Tran Xuan Hieu Le Thi Diem Tran H. Pham Vu Trung Duong Le Tuan Hai Vu Van Tinh Nguyen Y. Nakashima 98 17 0 25 Jul 2024
Adaptive Training of Grid-Dependent Physics-Informed Kolmogorov-Arnold Networks Spyros Rigas M. Papachristou Theofilos Papadopoulos Fotios Anagnostopoulos Georgios Alexandridis AI4CE 106 25 0 24 Jul 2024
Kolmogorov-Arnold Graph Neural Networks Gianluca De Carlo Andrea Mastropietro Aris Anagnostopoulos 105 28 0 26 Jun 2024
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning Roman Bresson Giannis Nikolentzos G. Panagopoulos Michail Chatzianastasis Jun Pang Michalis Vazirgiannis 181 52 0 26 Jun 2024
GraphKAN: Enhancing Feature Extraction with Graph Kolmogorov Arnold Networks Fan Zhang Xin Zhang 108 31 0 19 Jun 2024
GKAN: Graph Kolmogorov-Arnold Networks Mehrdad Kiamari Mohammad Kiamari Bhaskar Krishnamachari 106 45 0 10 Jun 2024
RoPINN: Region Optimized Physics-Informed Neural Networks Haixu Wu Huakun Luo Yuezhou Ma Jianmin Wang Mingsheng Long AI4CE 75 9 0 23 May 2024
Wav-KAN: Wavelet Kolmogorov-Arnold Networks Zavareh Bozorgasl Hao Chen 117 117 0 21 May 2024
TKAN: Temporal Kolmogorov-Arnold Networks Remi Genet Hugo Inzirillo AI4TS AI4CE 93 86 0 12 May 2024
Kolmogorov-Arnold Networks are Radial Basis Function Networks Ziyao Li 112 80 0 10 May 2024
Exploring Correlations of Self-Supervised Tasks for Graphs Taoran Fang Wei Zhou Yifei Sun Kaiqiao Han Lvbin Ma Yang Yang 88 7 0 07 May 2024
KAN: Kolmogorov-Arnold Networks Ziming Liu Yixuan Wang Sachin Vaidya Fabian Ruehle James Halverson Marin Soljacic Thomas Y. Hou Max Tegmark 328 602 0 30 Apr 2024
Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns Yifei Sun Qi Zhu Yang Yang Chunping Wang Tianyu Fan Jiajun Zhu Lei Chen 128 12 0 21 Dec 2023
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations Qitian Wu Wen-Long Zhao Chenxiao Yang Hengrui Zhang Fan Nie Haitian Jiang Yatao Bian Junchi Yan AI4CE 139 100 0 19 Jun 2023
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective Chaoqi Chen Yushuang Wu Qiyuan Dai Hong-Yu Zhou Mutian Xu Sibei Yang Xiaoguang Han Yizhou Yu ViT MedIm AI4CE 139 82 0 27 Sep 2022
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs Jinsong Chen Kaiyuan Gao Gaichao Li Kun He 98 118 0 10 Jun 2022
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision Dongkwan Kim Alice Oh SSL GNN 130 262 0 11 Apr 2022
Graph Embedding with Hierarchical Attentive Membership Lu Lin Ethan Blaser Hongning Wang 123 10 0 31 Oct 2021
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation Lianghao Xia Chao Huang Yong-mei Xu Peng Dai Xiyue Zhang Hongsheng Yang J. Pei Liefeng Bo 212 203 0 08 Oct 2021
Rethinking Graph Transformers with Spectral Attention Devin Kreuzer Dominique Beaini William L. Hamilton Vincent Létourneau Prudencio Tossou 152 553 0 07 Jun 2021
How Attentive are Graph Attention Networks? Shaked Brody Uri Alon Eran Yahav GNN 163 1,102 0 30 May 2021
A Generalization of Transformer Networks to Graphs Vijay Prakash Dwivedi Xavier Bresson AI4CE 121 768 0 17 Dec 2020
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification Yunsheng Shi Zhengjie Huang Shikun Feng Hui Zhong Wenjin Wang Yu Sun AI4CE 138 807 0 08 Sep 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 489 2,768 0 02 May 2020
Graph-Bert: Only Attention is Needed for Learning Graph Representations Jiawei Zhang Haopeng Zhang Congying Xia Li Sun 111 308 0 15 Jan 2020
Hyperbolic Graph Attention Network Yiding Zhang Tianlin Li Xunqiang Jiang C. Shi Yanfang Ye GNN 88 134 0 06 Dec 2019
Understanding Isomorphism Bias in Graph Data Sets Sergei Ivanov Sergei Sviridov Evgeny Burnaev FaML AI4CE 121 38 0 26 Oct 2019
Improving Graph Attention Networks with Large Margin-based Constraints Guangtao Wang Rex Ying Jing-ling Huang J. Leskovec 63 82 0 25 Oct 2019
Universal Graph Transformer Self-Attention Networks Dai Quoc Nguyen T. Nguyen Dinh Q. Phung ViT 108 68 0 26 Sep 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 861 8,651 0 03 Jan 2019
Pitfalls of Graph Neural Network Evaluation Oleksandr Shchur Maximilian Mumme Aleksandar Bojchevski Stephan Günnemann GNN 178 1,375 0 14 Nov 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 313 7,747 0 01 Oct 2018
DeepInf: Social Influence Prediction with Deep Learning J. Qiu Jian Tang Hao Ma Yuxiao Dong Kuansan Wang Jie Tang GNN AI4CE 87 549 0 15 Jul 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 414 3,579 0 06 Jun 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 811 20,404 0 30 Oct 2017
Predicting multicellular function through multi-layer tissue networks Marinka Zitnik J. Leskovec 100 544 0 14 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 1.0K 133,589 0 12 Jun 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 640 15,438 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 841 7,519 0 04 Apr 2017
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 407 1,854 0 02 Mar 2017
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 184 3,612 0 21 Nov 2016
Automatic chemical design using a data-driven continuous representation of molecules Rafael Gómez-Bombarelli Jennifer N. Wei David Duvenaud José Miguel Hernández-Lobato Benjamín Sánchez-Lengeling Dennis Sheberla J. Aguilera-Iparraguirre Timothy D. Hirzel Ryan P. Adams Alán Aspuru-Guzik 3DV 311 2,962 0 07 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 819 29,331 0 09 Sep 2016