A Generalization of Transformer Networks to Graphs

17 December 2020

Papers citing "A Generalization of Transformer Networks to Graphs"

25 / 425 papers shown

Title
SEA: Graph Shell Attention in Graph Neural Networks Christian Frey Yunpu Ma Matthias Schubert 36 1 0 20 Oct 2021
Beltrami Flow and Neural Diffusion on Graphs B. Chamberlain J. Rowbottom D. Eynard Francesco Di Giovanni Xiaowen Dong M. Bronstein AI4CE 34 79 0 18 Oct 2021
Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi A. Luu T. Laurent Yoshua Bengio Xavier Bresson GNN 197 309 0 15 Oct 2021
Improved Drug-target Interaction Prediction with Intermolecular Graph Transformer Siyuan Liu Yusong Wang Tong Wang Yifan Deng Liang He Bin Shao Jian Yin Nanning Zheng Tie-Yan Liu 23 16 0 14 Oct 2021
Geometric Transformers for Protein Interface Contact Prediction Alex Morehead Chen Chen Jianlin Cheng 35 28 0 06 Oct 2021
Global Self-Attention as a Replacement for Graph Convolution Md Shamim Hussain Mohammed J. Zaki D. Subramanian ViT 40 122 0 07 Aug 2021
Matrix Encoding Networks for Neural Combinatorial Optimization Yeong-Dae Kwon Jinho Choo Iljoo Yoon Minah Park Duwon Park Youngjune Gwon 25 87 0 21 Jun 2021
GraphiT: Encoding Graph Structure in Transformers Grégoire Mialon Dexiong Chen Margot Selosse Julien Mairal 25 164 0 10 Jun 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 30 433 0 09 Jun 2021
Multi-hop Graph Convolutional Network with High-order Chebyshev Approximation for Text Reasoning Shuoran Jiang Qingcai Chen Xin Liu Baotian Hu Lisai Zhang 26 3 0 08 Jun 2021
Rethinking Graph Transformers with Spectral Attention Devin Kreuzer Dominique Beaini William L. Hamilton Vincent Létourneau Prudencio Tossou 46 505 0 07 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition Yihong Dong Ying Peng Muqiao Yang Songtao Lu Qingjiang Shi 40 9 0 05 Jun 2021
How Attentive are Graph Attention Networks? Shaked Brody Uri Alon Eran Yahav GNN 52 1,016 0 30 May 2021
TransCamP: Graph Transformer for 6-DoF Camera Pose Estimation Xinyi Li Haibin Ling ViT 21 4 0 28 May 2021
Training a First-Order Theorem Prover from Synthetic Data Vlad Firoiu Eser Aygun Ankit Anand Zafarali Ahmed Xavier Glorot Laurent Orseau Lei Zhang Doina Precup Shibl Mourad NAI 21 13 0 05 Mar 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 26 99 0 04 Mar 2021
Position Information in Transformers: An Overview Philipp Dufter Martin Schmitt Hinrich Schütze 13 139 0 22 Feb 2021
Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing Jan Toenshoff Martin Ritzert Hinrikus Wolf Martin Grohe GNN 84 28 0 17 Feb 2021
Zero-Shot Learning with Common Sense Knowledge Graphs Nihal V. Nayak Stephen H. Bach VLM 26 36 0 18 Jun 2020
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 185 1,170 0 03 Mar 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 917 0 02 Mar 2020
Learning Symbolic Physics with Graph Networks M. Cranmer Rui Xu Peter W. Battaglia S. Ho PINN AI4CE 191 84 0 12 Sep 2019
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... J. Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 206 747 0 03 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 276 1,944 0 09 Jun 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016