A Generalization of Transformer Networks to Graphs

17 December 2020

Papers citing "A Generalization of Transformer Networks to Graphs"

50 / 425 papers shown

Title
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion Qitian Wu Chenxiao Yang Wen-Long Zhao Yixuan He David Wipf Junchi Yan DiffM 24 83 0 23 Jan 2023
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction Jiawei Jiang Chengkai Han Wayne Xin Zhao Jingyuan Wang AI4TS 25 246 0 19 Jan 2023
State of the Art and Potentialities of Graph-level Learning Zhenyu Yang Ge Zhang Jia Wu Jian Yang Quan.Z Sheng ... Charu C. Aggarwal Hao Peng Wenbin Hu Edwin R. Hancock Pietro Lio GNN AI4CE 35 10 0 14 Jan 2023
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction Khai Nguyen Dang Nguyen N. Ho 32 9 0 12 Jan 2023
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation Han Huang Leilei Sun Bowen Du Weifeng Lv 45 40 0 01 Jan 2023
A Generalization of ViT/MLP-Mixer to Graphs Xiaoxin He Bryan Hooi T. Laurent Adam Perold Yann LeCun Xavier Bresson 47 88 0 27 Dec 2022
SLGTformer: An Attention-Based Approach to Sign Language Recognition Neil Song Yu Xiang SLR 30 0 0 21 Dec 2022
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction Vardaan Pahuja Boshi Wang Hugo Latapie Jayanth Srinivasa Yu-Chuan Su 28 13 0 19 Dec 2022
TopoImb: Toward Topology-level Imbalance in Learning from Graphs Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang AI4CE 30 11 0 16 Dec 2022
Bridging Graph Position Encodings for Transformers with Weighted Graph-Walking Automata Patrick M. Soga David Chiang 27 0 0 13 Dec 2022
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation Han Huang Leilei Sun Bowen Du Yanjie Fu Weifeng Lv DiffM 32 42 0 04 Dec 2022
Component Segmentation of Engineering Drawings Using Graph Convolutional Networks Wentai Zhang Joe Joseph Yueyan Yin Liuyue Xie T. Furuhata Soji Yamakawa Kenji Shimada L. Kara 32 12 0 01 Dec 2022
GENNAPE: Towards Generalized Neural Architecture Performance Estimators Keith G. Mills Fred X. Han Jialin Zhang Fabián A. Chudak A. Mamaghani Mohammad Salameh Wei Lu Shangling Jui Di Niu 27 4 0 30 Nov 2022
RNTrajRec: Road Network Enhanced Trajectory Recovery with Spatial-Temporal Transformer Yuqi Chen Hanyuan Zhang Weiwei Sun B. Zheng 29 39 0 23 Nov 2022
Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions Anson Bastos Abhishek Nadgeri Kuldeep Singh Toyotaro Suzumura Manish Singh 41 7 0 22 Nov 2022
Learnable Graph Convolutional Attention Networks Adrián Javaloy Pablo Sánchez-Martín Amit Levi Isabel Valera GNN 24 10 0 21 Nov 2022
EDEN: A Plug-in Equivariant Distance Encoding to Beyond the 1-WL Test Chang-Shu Liu Yuwen Yang Yue Ding Hongtao Lu 38 1 0 19 Nov 2022
GPS++: An Optimised Hybrid MPNN/Transformer for Molecular Property Prediction Dominic Masters Josef Dean Kerstin Klaser Zhiyi Li Sam Maddrell-Mander Adam Sanders Hatem Helal D. Beker Ladislav Rampášek Dominique Beaini 29 23 0 18 Nov 2022
Adaptive Multi-Neighborhood Attention based Transformer for Graph Representation Learning Gaichao Li Jinsong Chen Kun He 24 3 0 15 Nov 2022
Inductive Graph Transformer for Delivery Time Estimation Xin Zhou Jinglong Wang Yong Liu Xin Wu Zhiqi Shen Cyril Leung 22 15 0 05 Nov 2022
Geometry-Complete Perceptron Networks for 3D Molecular Graphs Alex Morehead Jianlin Cheng GNN 3DV AI4CE 32 12 0 04 Nov 2022
Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation Siddharth Nayak Kenneth M. F. Choi Wenqi Ding Sydney I. Dolan Karthik Gopalakrishnan H. Balakrishnan 17 29 0 03 Nov 2022
Generalized Laplacian Positional Encoding for Graph Representation Learning Sohir Maskey Alipanah Parviz Maximilian Thiessen Hannes Stärk Ylli Sadikaj Haggai Maron AI4CE 36 16 0 28 Oct 2022
Explaining the Explainers in Graph Neural Networks: a Comparative Study Antonio Longa Steve Azzolin G. Santin G. Cencetti Pietro Lio Bruno Lepri Andrea Passerini 46 28 0 27 Oct 2022
Transformers over Directed Acyclic Graphs Yu Luo Veronika Thost Lei Shi GNN AI4CE 40 16 0 24 Oct 2022
Self-supervised Graph-based Point-of-interest Recommendation Yong Li Tong Chen P. Zhang Zi Huang Hongzhi Yin 25 4 0 22 Oct 2022
Diffuser: Efficient Transformers with Multi-hop Attention Diffusion for Long Sequences Aosong Feng Irene Z Li Yuang Jiang Rex Ying 29 18 0 21 Oct 2022
FoSR: First-order spectral rewiring for addressing oversquashing in GNNs Kedar Karhadkar P. Banerjee Guido Montúfar 31 57 0 21 Oct 2022
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 21 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 80 4 0 14 Oct 2022
ST-former for short-term passenger flow prediction during COVID-19 in urban rail transit system Shuxin Zhang Jinlei Zhang Lixing Yang Chengcheng Wang Ziyou Gao AI4TS 20 0 0 14 Oct 2022
Brain Network Transformer Xuan Kan Wei Dai Hejie Cui Zilong Zhang Ying Guo Carl Yang MedIm 11 102 0 13 Oct 2022
Planning Assembly Sequence with Graph Transformer Lin Ma Jian Gong Hao Xu Hao Chen Hao Zhao Wenbin Huang Guyue Zhou 34 18 0 11 Oct 2022
Hierarchical Graph Transformer with Adaptive Node Sampling Zaixin Zhang Qi Liu Qingyong Hu Cheekong Lee 78 82 0 08 Oct 2022
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 27 73 0 27 Sep 2022
A Simple Way to Learn Metrics Between Attributed Graphs Yacouba Kaloga Pierre Borgnat Amaury Habrard GNN 22 1 0 26 Sep 2022
LogGD:Detecting Anomalies from System Logs by Graph Neural Networks Yongzhen Xie Hongyu Zhang M. Babar AI4TS 12 20 0 16 Sep 2022
Graph Neural Networks for Molecules Yuyang Wang Zijie Li A. Farimani GNN AI4CE 45 20 0 12 Sep 2022
Expressing Multivariate Time Series as Graphs with Time Series Attention Transformer W. Ng K. Siu Albert C. Cheung Michael K. Ng AI4TS 24 7 0 19 Aug 2022
SoMoFormer: Social-Aware Motion Transformer for Multi-Person Motion Prediction Xiaogang Peng Yaodi Shen Haoran Wang Binling Nie Yigang Wang Zizhao Wu ViT 25 6 0 19 Aug 2022
GEM-2: Next Generation Molecular Property Prediction Network by Modeling Full-range Many-body Interactions Lihang Liu Donglong He Xiaomin Fang Shanzhuo Zhang Fan Wang Jingzhou He Hua Wu 24 3 0 11 Aug 2022
Learning Personalized Representations using Graph Convolutional Network Hongyu Shen Jinoh Oh Shuai Zhao Guoyin Wang Taraneh Taghavi Sungjin Lee GNN AI4TS 23 1 0 28 Jul 2022
Transformer with Implicit Edges for Particle-based Physics Simulation Yidi Shao Chen Change Loy Bo Dai 16 15 0 22 Jul 2022
Neural Topological Ordering for Computation Graphs Mukul Gagrani Corrado Rainone Yang Yang Harris Teague Wonseok Jeon H. V. Hoof Weizhen Zeng P. Zappi Chris Lott Roberto Bondesan 32 12 0 13 Jul 2022
Recent Developments in AI and USPTO Open Data Scott Beliveau Jerry Ma 27 1 0 12 Jul 2022
Adaptive Graph Spatial-Temporal Transformer Network for Traffic Flow Forecasting Aosong Feng Leandros Tassiulas AI4TS 16 58 0 09 Jul 2022
TF-GNN: Graph Neural Networks in TensorFlow Oleksandr Ferludin Arno Eigenwillig Martin J. Blais Dustin Zelle Jan Pfeifer ... Anton Tsitsulin Kevin Villela Lisa Wang David Wong Bryan Perozzi GNN 18 35 0 07 Jul 2022
Pure Transformers are Powerful Graph Learners Jinwoo Kim Tien Dat Nguyen Seonwoo Min Sungjun Cho Moontae Lee Honglak Lee Seunghoon Hong 43 189 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 90 7 0 29 Jun 2022
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs Yi-Lun Liao Tess E. Smidt 87 216 0 23 Jun 2022