A Generalization of Transformer Networks to Graphs

17 December 2020

Papers citing "A Generalization of Transformer Networks to Graphs"

50 / 425 papers shown

Title
Long Range Graph Benchmark Vijay Prakash Dwivedi Ladislav Rampášek Mikhail Galkin Alipanah Parviz Guy Wolf A. Luu Dominique Beaini 26 195 0 16 Jun 2022
DiffWire: Inductive Graph Rewiring via the Lovász Bound Adrián Arnaiz-Rodríguez Ahmed Begga Francisco Escolano Nuria Oliver 32 62 0 15 Jun 2022
Multimodal Learning with Transformers: A Survey P. Xu Xiatian Zhu David A. Clifton ViT 72 528 0 13 Jun 2022
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs Jinsong Chen Kaiyuan Gao Gaichao Li Kun He 24 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 35 1 0 04 Jun 2022
Generalised Implicit Neural Representations Daniele Grattarola P. Vandergheynst 21 30 0 31 May 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs Yangze Zhou Gitta Kutyniok Bruno Ribeiro OODD AI4CE 81 37 0 30 May 2022
StarGraph: Knowledge Representation Learning based on Incomplete Two-hop Subgraph Hongzhu Li Xiang Gao Linhui Feng Yafeng Deng Yuhui Yin 18 2 0 27 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 70 51 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 57 519 0 25 May 2022
Relphormer: Relational Graph Transformer for Knowledge Graph Representations Zhen Bi Shuyang Cheng Jing Chen Xiaozhuan Liang Zhiyu Li Ningyu Zhang 34 37 0 22 May 2022
DProQ: A Gated-Graph Transformer for Protein Complex Structure Assessment Xiao Chen Alex Morehead Jian Liu Jianlin Cheng 40 7 0 21 May 2022
Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction Daniel Reisenbüchler S. J. Wagner Melanie Boxberg T. Peng MedIm 32 22 0 13 May 2022
Scene Graph Expansion for Semantics-Guided Image Outpainting Chiao-An Yang C. Tan Wanshu Fan Cheng Yang Meng-Lin Wu Yu-Chiang Frank Wang 42 17 0 05 May 2022
Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning Fangzhi Xu Jun Liu Qika Lin Yudai Pan Lingling Zhang 23 24 0 02 May 2022
GTNet: A Tree-Based Deep Graph Learning Architecture Nan Wu Chaofan Wang 15 5 0 27 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 31 8 0 19 Apr 2022
Theory of Graph Neural Networks: Representation and Learning Stefanie Jegelka GNN AI4CE 33 68 0 16 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 19 6 0 06 Apr 2022
NC-DRE: Leveraging Non-entity Clue Information for Document-level Relation Extraction Li Zhang Yidong Cheng 11 2 0 01 Apr 2022
Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis Simon Dahan Abdulah Fawaz Logan Z. J. Williams Chunhui Yang Timothy S. Coalson M. Glasser A. Edwards Daniel Rueckert E. C. Robinson MedIm ViT 40 20 0 30 Mar 2022
Graph similarity learning for change-point detection in dynamic networks Déborah Sulem Henry Kenlay Mihai Cucuringu Xiaowen Dong 35 14 0 29 Mar 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
Intrinsic Neural Fields: Learning Functions on Manifolds Lukas Koestler Daniel Grittner Michael Moeller Daniel Cremers Zorah Lähner 23 22 0 15 Mar 2022
Understanding microbiome dynamics via interpretable graph representation learning K. Melnyk Kuba Weimann Tim Conrad 24 5 0 02 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 49 141 0 25 Feb 2022
Message passing all the way up Petar Velickovic 113 64 0 22 Feb 2022
Modelling the semantics of text in complex document layouts using graph transformer networks T. Barillot Jacob Saks Polena Lilyanova Edward Torgas Yachen Hu Yuanqing Liu Varun Balupuri P. Gaskell GNN 26 0 0 18 Feb 2022
Unleashing the Power of Transformer for Graphs Lingbing Guo Qiang Zhang Huajun Chen 25 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 16 137 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 33 237 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 40 14 0 31 Jan 2022
GRPE: Relative Positional Encoding for Graph Transformer Wonpyo Park Woonggi Chang Donggeon Lee Juntae Kim Seung-won Hwang 41 75 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
Retroformer: Pushing the Limits of Interpretable End-to-end Retrosynthesis Transformer Yue Wan Ben Liao Chang-Yu Hsieh Shengyu Zhang 25 10 0 29 Jan 2022
Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer Erxue Min Yu Rong Tingyang Xu Yatao Bian P. Zhao Junzhou Huang Da Luo Kangyi Lin Sophia Ananiadou 34 32 0 25 Jan 2022
How Expressive are Transformers in Spectral Domain for Graphs? Anson Bastos Abhishek Nadgeri Kuldeep Singh H. Kanezashi Toyotaro Suzumura I. Mulang' 27 12 0 23 Jan 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 46 258 0 21 Jan 2022
Self-Supervised Graph Representation Learning for Neuronal Morphologies Marissa A. Weis Laura Hansel Timo Lüddecke Alexander S. Ecker MedIm 25 7 0 23 Dec 2021
Proving Theorems using Incremental Learning and Hindsight Experience Replay Eser Aygun Laurent Orseau Ankit Anand Xavier Glorot Vlad Firoiu Lei M. Zhang Doina Precup Shibl Mourad CLL LRM 19 17 0 20 Dec 2021
Graph Representation Learning via Contrasting Cluster Assignments Chun-Yang Zhang Hong-Yu Yao F. I. C. L. Philip Chen Yue-Na Lin SSL 26 2 0 15 Dec 2021
Couplformer:Rethinking Vision Transformer with Coupling Attention Map Hai Lan Xihao Wang Xian Wei ViT 31 3 0 10 Dec 2021
Skeletal Graph Self-Attention: Embedding a Skeleton Inductive Bias into Sign Language Production Ben Saunders Necati Cihan Camgöz Richard Bowden SLR 34 17 0 06 Dec 2021
Spatio-Temporal meets Wavelet: Disentangled Traffic Flow Forecasting via Efficient Spectral Graph Attention Network Yuchen Fang Yanjun Qin Haiyong Luo Fang Zhao Bingbing Xu Chenxing Wang Liang Zeng AI4TS 76 10 0 06 Dec 2021
DyFormer: A Scalable Dynamic Graph Transformer with Provable Benefits on Generalization Ability Weilin Cong Yanhong Wu Yuandong Tian Mengting Gu Yinglong Xia C. Chen Mehrdad Mahdavi AI4CE 25 8 0 19 Nov 2021
Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs Jinwoo Kim Saeyoon Oh Seunghoon Hong AI4CE 22 41 0 27 Oct 2021
Geometric Transformer for End-to-End Molecule Properties Prediction Yoni Choukroun Lior Wolf AI4CE ViT 25 16 0 26 Oct 2021