NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification

27 June 2024

Kun He

Papers citing "NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification"

41 / 41 papers shown

Title
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections Dongqi Fu Zhigang Hua Yan Xie Jin Fang Si Zhang Kaan Sancak Hao Wu Andrey Malevich Jingrui He Bo Long 122 25 0 24 Mar 2024
SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning Jinsong Chen Gaichao Li John E. Hopcroft Kun He SLR 78 5 0 17 Oct 2023
Tailoring Self-Attention for Graph via Rooted Subtrees Siyuan Huang Yunchong Song Jiayue Zhou Zhouhan Lin 81 8 0 08 Oct 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 129 95 0 19 Jun 2023
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification Qitian Wu Wentao Zhao Zenan Li David Wipf Junchi Yan 63 227 0 14 Jun 2023
Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs Jinsong Chen Chang-Shu Liu Kai-Xin Gao Gaichao Li Kun He 86 4 0 22 May 2023
Specformer: Spectral Graph Neural Networks Meet Transformers Deyu Bo Chuan Shi Lele Wang Renjie Liao 130 88 0 02 Mar 2023
A critical look at the evaluation of GNNs under heterophily: Are we really making progress? Oleg Platonov Denis Kuznedelev Michael Diskin Artem Babenko Liudmila Prokhorenkova 101 222 0 22 Feb 2023
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion Qitian Wu Chenxiao Yang Wen-Long Zhao Yixuan He David Wipf Junchi Yan DiffM 103 89 0 23 Jan 2023
Adaptive Multi-Neighborhood Attention based Transformer for Graph Representation Learning Gaichao Li Jinsong Chen Kun He 46 3 0 15 Nov 2022
Hierarchical Graph Transformer with Adaptive Node Sampling Zaixin Zhang Qi Liu Qingyong Hu Cheekong Lee 152 91 0 08 Oct 2022
Pure Transformers are Powerful Graph Learners Jinwoo Kim Tien Dat Nguyen Seonwoo Min Sungjun Cho Moontae Lee Honglak Lee Seunghoon Hong 99 201 0 06 Jul 2022
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs Jinsong Chen Kaiyuan Gao Gaichao Li Kun He 70 116 0 10 Jun 2022
Recipe for a General, Powerful, Scalable Graph Transformer Ladislav Rampášek Mikhail Galkin Vijay Prakash Dwivedi Anh Tuan Luu Guy Wolf Dominique Beaini 143 579 0 25 May 2022
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily Xiang Li Renyu Zhu Yao Cheng Caihua Shan Siqiang Luo Dongsheng Li Wei Qian 77 194 0 15 May 2022
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision Dongkwan Kim Alice Oh SSL GNN 106 260 0 11 Apr 2022
Structure-Aware Transformer for Graph Representation Learning Dexiong Chen Leslie O’Bray Karsten Borgwardt 117 255 0 07 Feb 2022
Representing Long-Range Context for Graph Neural Networks with Global Attention Zhanghao Wu Paras Jain Matthew A. Wright Azalia Mirhoseini Joseph E. Gonzalez Ion Stoica GNN 121 291 0 21 Jan 2022
Block Modeling-Guided Graph Convolutional Neural Networks Dongxiao He Chundong Liang Huixin Liu Ming-Chang Wen Pengfei Jiao Zhiyong Feng GNN 81 67 0 27 Dec 2021
Gophormer: Ego-Graph Transformer for Node Classification Jianan Zhao Chaozhuo Li Qian Wen Yiqi Wang Yuming Liu Hao Sun Xing Xie Yanfang Ye 66 83 0 25 Oct 2021
Rethinking Graph Transformers with Spectral Attention Devin Kreuzer Dominique Beaini William L. Hamilton Vincent Létourneau Prudencio Tossou 109 548 0 07 Jun 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 179 593 0 04 Jan 2021
A Generalization of Transformer Networks to Graphs Vijay Prakash Dwivedi Xavier Bresson AI4CE 109 761 0 17 Dec 2020
Node Similarity Preserving Graph Convolutional Networks Wei Jin Hanyu Wang Yiqi Wang Yao Ma Zitao Liu Jiliang Tang 84 257 0 19 Nov 2020
On the Equivalence of Decoupled Graph Convolution Network and Label Propagation Hande Dong Jiawei Chen Fuli Feng Xiangnan He Shuxian Bi Zhaolin Ding Peng Cui BDL 102 106 0 23 Oct 2020
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks Xiao Wang Meiqi Zhu Deyu Bo Peng Cui C. Shi J. Pei BDL 127 492 0 05 Jul 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 133 1,505 0 04 Jul 2020
Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien Jianhao Peng Pan Li O. Milenkovic 278 745 0 14 Jun 2020
On the Bottleneck of Graph Neural Networks and its Practical Implications Uri Alon Eran Yahav GNN 110 695 0 09 Jun 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 337 1,128 0 13 Feb 2020
Learnable Pooling in Graph Convolution Networks for Brain Surface Analysis Karthik Gopinath Christian Desrosiers H. Lombaert 99 25 0 22 Nov 2019
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 160 712 0 28 Oct 2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View Deli Chen Yankai Lin Wei Li Peng Li Jie Zhou Xu Sun 94 1,113 0 07 Sep 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing Sami Abu-El-Haija Bryan Perozzi Amol Kapoor N. Alipourfard Kristina Lerman Hrayr Harutyunyan Greg Ver Steeg Aram Galstyan GNN 99 918 0 30 Apr 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 254 3,188 0 19 Feb 2019
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 225 1,695 0 14 Oct 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 526 1,991 0 09 Jun 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 489 20,295 0 30 Oct 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 819 132,725 0 12 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 600 7,500 0 04 Apr 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 689 29,220 0 09 Sep 2016