Rethinking Graph Transformers with Spectral Attention

7 June 2021

Papers citing "Rethinking Graph Transformers with Spectral Attention"

50 / 305 papers shown

Title
FIMP: Foundation Model-Informed Message Passing for Graph Neural Networks S. Rizvi Nazreen Pallikkavaliyaveetil David Zhang Zhuoyang Lyu Nhi Nguyen ... Amin Karbasi Rex Ying Maria Brbić Rahul M. Dhodapkar David van Dijk GNN AI4CE 13 1 0 17 Oct 2022
Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning Tiantian He Haicang Zhou Yew-Soon Ong Gao Cong GNN 69 4 0 14 Oct 2022
Brain Network Transformer Xuan Kan Wei Dai Hejie Cui Zilong Zhang Ying Guo Carl Yang MedIm 6 100 0 13 Oct 2022
Designing Robust Transformers using Robust Kernel Density Estimation Xing Han Tongzheng Ren T. Nguyen Khai Nguyen Joydeep Ghosh Nhat Ho 21 6 0 11 Oct 2022
Hierarchical Graph Transformer with Adaptive Node Sampling Zaixin Zhang Qi Liu Qingyong Hu Cheekong Lee 75 81 0 08 Oct 2022
Expander Graph Propagation Andreea Deac Marc Lackenby Petar Velivcković 96 52 0 06 Oct 2022
Provably expressive temporal graph networks Amauri Souza Diego Mesquita Samuel Kaski Vikas K. Garg 89 54 0 29 Sep 2022
From Local to Global: Spectral-Inspired Graph Neural Networks Ningyuan Huang Soledad Villar Carey E. Priebe Da Zheng Cheng-Fu Huang Lin F. Yang Vladimir Braverman 23 14 0 24 Sep 2022
Multimodal learning with graphs Yasha Ektefaie George Dasoulas Ayush Noori Maha Farhat Marinka Zitnik 51 82 0 07 Sep 2022
Pure Transformers are Powerful Graph Learners Jinwoo Kim Tien Dat Nguyen Seonwoo Min Sungjun Cho Moontae Lee Honglak Lee Seunghoon Hong 38 187 0 06 Jul 2022
Deformable Graph Transformer Jinyoung Park Seongjun Yun Hyeon-ju Park Jaewoo Kang Jisu Jeong KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim 84 7 0 29 Jun 2022
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs Yi-Lun Liao Tess E. Smidt 80 213 0 23 Jun 2022
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries Fabrizio Frasca Beatrice Bevilacqua Michael M. Bronstein Haggai Maron 35 125 0 22 Jun 2022
Long Range Graph Benchmark Vijay Prakash Dwivedi Ladislav Rampášek Mikhail Galkin Alipanah Parviz Guy Wolf A. Luu Dominique Beaini 26 193 0 16 Jun 2022
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs Jinsong Chen Kaiyuan Gao Gaichao Li Kun He 16 64 0 10 Jun 2022
A Bird's-Eye Tutorial of Graph Attention Architectures Kaustubh D. Dhole Carl Yang 30 1 0 06 Jun 2022
Empowering GNNs via Edge-Aware Weisfeiler-Leman Algorithm Meng Liu Haiyang Yu Shuiwang Ji 33 1 0 04 Jun 2022
Shortest Path Networks for Graph Property Prediction Ralph Abboud Radoslav Dimitrov .Ismail .Ilkan Ceylan GNN 27 44 0 02 Jun 2022
KPGT: Knowledge-Guided Pre-training of Graph Transformer for Molecular Property Prediction Han Li Dan Zhao Jianyang Zeng 25 60 0 02 Jun 2022
Transformer with Fourier Integral Attentions T. Nguyen Minh Pham Tam Nguyen Khai Nguyen Stanley J. Osher Nhat Ho 17 4 0 01 Jun 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs Yangze Zhou Gitta Kutyniok Bruno Ribeiro OODD AI4CE 73 37 0 30 May 2022
Your Transformer May Not be as Powerful as You Expect Shengjie Luo Shanda Li Shuxin Zheng Tie-Yan Liu Liwei Wang Di He 52 50 0 26 May 2022
Recipe for a General, Powerful, Scalable Graph Transformer Ladislav Rampášek Mikhail Galkin Vijay Prakash Dwivedi A. Luu Guy Wolf Dominique Beaini 57 514 0 25 May 2022
Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object Detection Zehui Chen Zhenyu Li Shiquan Zhang Liangji Fang Qinhong Jiang Feng Zhao 21 45 0 25 Apr 2022
G2GT: Retrosynthesis Prediction with Graph to Graph Attention Neural Network and Self-Training Zaiyun Lin Shiqiu Yin Lei Shi Wenbiao Zhou Yingsheng J. Zhang 23 8 0 19 Apr 2022
"The Pedestrian next to the Lamppost" Adaptive Object Graphs for Better Instantaneous Mapping Avishkar Saha Oscar Alejandro Mendez Maldonado Chris Russell Richard Bowden 11 6 0 06 Apr 2022
NC-DRE: Leveraging Non-entity Clue Information for Document-level Relation Extraction L. Zhang Yidong Cheng 11 2 0 01 Apr 2022
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs Zehao Dong Muhan Zhang Fuhai Li Yixin Chen CML GNN 33 17 0 19 Mar 2022
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks Hongya Wang Haoteng Yin Muhan Zhang Pan Li 35 107 0 01 Mar 2022
Sign and Basis Invariant Networks for Spectral Graph Representation Learning Derek Lim Joshua Robinson Lingxiao Zhao Tess E. Smidt S. Sra Haggai Maron Stefanie Jegelka 43 139 0 25 Feb 2022
Message passing all the way up Petar Velickovic 111 63 0 22 Feb 2022
Equivariant Graph Attention Networks for Molecular Property Prediction Tuan Le Frank Noé Djork-Arné Clevert 13 21 0 20 Feb 2022
Unleashing the Power of Transformer for Graphs Lingbing Guo Qiang Zhang Huajun Chen 17 8 0 18 Feb 2022
Transformer for Graphs: An Overview from Architecture Perspective Erxue Min Runfa Chen Yatao Bian Tingyang Xu Kangfei Zhao Wenbing Huang P. Zhao Junzhou Huang Sophia Ananiadou Yu Rong 14 137 0 17 Feb 2022
Graph Masked Autoencoders with Transformers Sixiao Zhang Hongxu Chen Haoran Yang Xiangguo Sun Philip S. Yu Guandong Xu 21 18 0 17 Feb 2022
Structure-Aware Transformer for Graph Representation Learning Dexiong Chen Leslie O’Bray Karsten M. Borgwardt 28 236 0 07 Feb 2022
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings Or Feldman A. Boyarski Shai Feldman D. Kogan A. Mendelson Chaim Baskin 32 14 0 31 Jan 2022
GRPE: Relative Positional Encoding for Graph Transformer Wonpyo Park Woonggi Chang Donggeon Lee Juntae Kim Seung-won Hwang 41 74 0 30 Jan 2022
Rewiring with Positional Encodings for Graph Neural Networks Rickard Brüel-Gabrielsson Mikhail Yurochkin Justin Solomon AI4CE 25 32 0 29 Jan 2022
How Expressive are Transformers in Spectral Domain for Graphs? Anson Bastos Abhishek Nadgeri Kuldeep Singh H. Kanezashi Toyotaro Suzumura I. Mulang' 19 12 0 23 Jan 2022
Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device Placement Tianze Wang A. H. Payberah D. Hagos Vladimir Vlassov GNN 12 0 0 21 Jan 2022
A New Perspective on the Effects of Spectrum in Graph Neural Networks Mingqi Yang Yanming Shen Rui Li Heng Qi Qian Zhang Baocai Yin GNN 13 26 0 14 Dec 2021
Skeletal Graph Self-Attention: Embedding a Skeleton Inductive Bias into Sign Language Production Ben Saunders Necati Cihan Camgöz Richard Bowden SLR 29 17 0 06 Dec 2021
SEA: Graph Shell Attention in Graph Neural Networks Christian Frey Yunpu Ma Matthias Schubert 31 1 0 20 Oct 2021
Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi A. Luu T. Laurent Yoshua Bengio Xavier Bresson GNN 194 308 0 15 Oct 2021
Graph Pointer Neural Networks Tian-bao Yang Yujing Wang Z. Yue Yaming Yang Yunhai Tong Jing Bai 13 34 0 03 Oct 2021
Do Transformers Really Perform Bad for Graph Representation? Chengxuan Ying Tianle Cai Shengjie Luo Shuxin Zheng Guolin Ke Di He Yanming Shen Tie-Yan Liu GNN 23 433 0 09 Jun 2021
A Survey on Graph Structure Learning: Progress and Opportunities Yanqiao Zhu Weizhi Xu Jinghao Zhang Yuanqi Du Jieyu Zhang Qiang Liu Carl Yang Shu Wu GNN AI4CE 20 98 0 04 Mar 2021
Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing Jan Toenshoff Martin Ritzert Hinrikus Wolf Martin Grohe GNN 76 27 0 17 Feb 2021
A Practical Tutorial on Graph Neural Networks I. Ward J. Joyner C. Lickfold Yulan Guo Bennamoun GNN AI4CE 22 12 0 11 Oct 2020