Representing Long-Range Context for Graph Neural Networks with Global Attention

21 January 2022

Papers citing "Representing Long-Range Context for Graph Neural Networks with Global Attention"

33 / 133 papers shown

Title
Attending to Graph Transformers Luis Muller Mikhail Galkin Christopher Morris Ladislav Rampášek 41 84 0 08 Feb 2023
On the Connection Between MPNN and Graph Transformer Chen Cai Truong Son-Hy Rose Yu Yusu Wang 8 33 0 27 Jan 2023
A Generalization of ViT/MLP-Mixer to Graphs Xiaoxin He Bryan Hooi T. Laurent Adam Perold Yann LeCun Xavier Bresson 11 60 0 27 Dec 2022
SLGTformer: An Attention-Based Approach to Sign Language Recognition Neil Song Yu Xiang SLR 8 0 0 21 Dec 2022
PatchGT: Transformer over Non-trainable Clusters for Learning Graph Representations Han Gao Xuhong Han Jiaoyang Huang Jian-Xun Wang Liping Liu ViT GNN 8 8 0 26 Nov 2022
Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions Anson Bastos Abhishek Nadgeri Kuldeep Singh Toyotaro Suzumura Manish Singh 25 7 0 22 Nov 2022
Adaptive Multi-Neighborhood Attention based Transformer for Graph Representation Learning Gaichao Li Jinsong Chen Kun He 8 3 0 15 Nov 2022
Transformers over Directed Acyclic Graphs Yu Luo Veronika Thost Lei Shi GNN AI4CE 19 16 0 24 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 19 4 0 14 Oct 2022
AlphaFold Distillation for Protein Design Igor Melnyk A. Lozano Payel Das Vijil Chenthamarakshan 12 1 0 05 Oct 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 10 11 0 24 Sep 2022
Graph Reasoning Transformer for Image Parsing Dong Zhang Jinhui Tang Kwang-Ting Cheng ViT 9 14 0 20 Sep 2022
Equivariant Hypergraph Neural Networks Jinwoo Kim Saeyoon Oh Sungjun Cho Seunghoon Hong 11 12 0 22 Aug 2022
GROWN+UP: A Graph Representation Of a Webpage Network Utilizing Pre-training Benedict Yeoh Huijuan Wang GNN 18 0 0 03 Aug 2022
Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search Xu Wang Huan Zhao Lanning Wei Quanming Yao AI4CE GNN 10 3 0 13 Jul 2022
Deformable Graph Transformer Jinyoung Park Seongjun Yun Hyeon-ju Park Jaewoo Kang Jisu Jeong KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim 73 7 0 29 Jun 2022
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs Jinsong Chen Kaiyuan Gao Gaichao Li Kun He 8 64 0 10 Jun 2022
Shortest Path Networks for Graph Property Prediction Ralph Abboud Radoslav Dimitrov .Ismail .Ilkan Ceylan GNN 9 30 0 02 Jun 2022
Capturing Graphs with Hypo-Elliptic Diffusions Csaba Tóth Darrick Lee Celia Hacker Harald Oberhauser 8 8 0 27 May 2022
Recipe for a General, Powerful, Scalable Graph Transformer Ladislav Rampášek Mikhail Galkin Vijay Prakash Dwivedi A. Luu Guy Wolf Dominique Beaini 12 361 0 25 May 2022
Asynchronous Neural Networks for Learning in Graphs Lukas Faber Roger Wattenhofer GNN 6 2 0 24 May 2022
Relphormer: Relational Graph Transformer for Knowledge Graph Representations Zhen Bi Shuyang Cheng Jing Chen Xiaozhuan Liang Feiyu Xiong Ningyu Zhang 12 37 0 22 May 2022
A Survey on Graph Representation Learning Methods Shima Khoshraftar A. An GNN AI4TS 27 51 0 04 Apr 2022
Pretraining Graph Neural Networks for few-shot Analog Circuit Modeling and Design Kourosh Hakhamaneshi Marcel Nassar Mariano Phielipp Pieter Abbeel Vladimir M. Stojanović AI4CE GNN SSL 8 15 0 29 Mar 2022
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs Zehao Dong Muhan Zhang Fuhai Li Yixin Chen CML GNN 11 17 0 19 Mar 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 12 110 0 17 Feb 2022
Structure-Aware Transformer for Graph Representation Learning Dexiong Chen Leslie O’Bray Karsten M. Borgwardt 18 236 0 07 Feb 2022
How Expressive are Transformers in Spectral Domain for Graphs? Anson Bastos Abhishek Nadgeri Kuldeep Singh H. Kanezashi Toyotaro Suzumura I. Mulang' 9 10 0 23 Jan 2022
NeuroBack: Improving CDCL SAT Solving using Graph Neural Networks Wenxi Wang Yang Hu Mohit Tiwari S. Khurshid K. McMillan Risto Miikkulainen GNN NAI 6 6 0 26 Oct 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 10 69 0 04 Mar 2021
Temporal Memory Attention for Video Semantic Segmentation Hao Wang Weining Wang Jing Liu VOS 24 66 0 17 Feb 2021
Bottleneck Transformers for Visual Recognition A. Srinivas Tsung-Yi Lin Niki Parmar Jonathon Shlens Pieter Abbeel Ashish Vaswani SLR 262 955 0 27 Jan 2021
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 217 1,726 0 09 Jun 2018