A Generalization of Transformer Networks to Graphs

17 December 2020

Papers citing "A Generalization of Transformer Networks to Graphs"

50 / 425 papers shown

Title
CIN++: Enhancing Topological Message Passing Lorenzo Giusti Teodora Reu Francesco Ceccarelli Cristian Bodnar Pietro Lio GNN 32 7 0 06 Jun 2023
Classification of Edge-dependent Labels of Nodes in Hypergraphs Minyoung Choe Sunwoo Kim Jaemin Yoo Kijung Shin GNN 25 10 0 05 Jun 2023
HiGen: Hierarchical Graph Generative Networks Mahdi Karami 39 4 0 30 May 2023
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning Haiteng Zhao Shengchao Liu Chang Ma Hannan Xu Jie Fu Zhihong Deng Lingpeng Kong Qi Liu 25 60 0 28 May 2023
Self-attention Dual Embedding for Graphs with Heterophily Yurui Lai Taiyan Zhang Rui Fan GNN 38 0 0 28 May 2023
Graph Inductive Biases in Transformers without Message Passing Liheng Ma Chen Lin Derek Lim Adriana Romero Soriano P. Dokania Mark J. Coates Philip Torr Ser-Nam Lim AI4CE 34 85 0 27 May 2023
Union Subgraph Neural Networks Jiaxing Xu Aihu Zhang Qingtian Bian Vijay Prakash Dwivedi Yiping Ke GNN 27 6 0 25 May 2023
What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding Nicolas Keriven Samuel Vaiter 37 11 0 24 May 2023
On Structural Expressive Power of Graph Transformers Wenhao Zhu Tianyu Wen Guojie Song Liangji Wang Bo Zheng 27 15 0 23 May 2023
Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs Jinsong Chen Chang-Shu Liu Kai-Xin Gao Gaichao Li Kun He 21 4 0 22 May 2023
Mol-PECO: a deep learning model to predict human olfactory perception from molecular structures Mengji Zhang Yusuke Hiki Akira Funahashi Tetsuya J. Kobayashi 19 0 0 21 May 2023
Graph Propagation Transformer for Graph Representation Learning Zhe Chen Hao Hao Tan Tao Wang Tianrun Shen Tong Lu Qiuying Peng Cheng Cheng Yue Qi 32 11 0 19 May 2023
DRew: Dynamically Rewired Message Passing with Delay Benjamin Gutteridge Xiaowen Dong Michael M. Bronstein Francesco Di Giovanni 39 58 0 13 May 2023
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer Bo Jiang Fei Xu Ziyan Zhang Jin Tang Feiping Nie 39 4 0 12 May 2023
Hierarchical Transformer for Scalable Graph Learning Wenhao Zhu Tianyu Wen Guojie Song Xiaojun Ma Liang Wang 37 14 0 04 May 2023
MUDiff: Unified Diffusion for Complete Molecule Generation Chenqing Hua Sitao Luan Minkai Xu Rex Ying Jie Fu Stefano Ermon Doina Precup DiffM 53 34 0 28 Apr 2023
Real-time Trajectory-based Social Group Detection Simindokht Jahangard Munawar Hayat Hamid Rezatofighi 16 2 0 12 Apr 2023
Transformer and Snowball Graph Convolution Learning for Brain functional network Classification Jinlong Hu Ya-Lin Huang Shoubin Dong 27 1 0 28 Mar 2023
DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks Yanshen Sun Kaiqun Fu Chang-Tien Lu AI4TS AI4CE 32 2 0 21 Mar 2023
SGFormer: Semantic Graph Transformer for Point Cloud-based 3D Scene Graph Generation Changsheng Lv Mengshi Qi Xia Li Zhengyuan Yang Huadong Ma 3DPC ViT 32 8 0 20 Mar 2023
TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning with Structure-Trajectory Prompted Reconstruction for Person Re-Identification Haocong Rao Steven C. H. Hoi 22 26 0 13 Mar 2023
LUKE-Graph: A Transformer-based Approach with Gated Relational Graph Attention for Cloze-style Reading Comprehension Shima Foolad Kourosh Kiani 19 3 0 12 Mar 2023
Spatio-Temporal Attention Network for Persistent Monitoring of Multiple Mobile Targets Yizhuo Wang Yutong Wang Yuhong Cao Guillaume Sartoretti 32 7 0 11 Mar 2023
Exphormer: Sparse Transformers for Graphs Hamed Shirzad A. Velingker B. Venkatachalam Danica J. Sutherland A. Sinop 11 99 0 10 Mar 2023
Intent-based Deep Reinforcement Learning for Multi-agent Informative Path Planning Tianze Yang Yuhong Cao Guillaume Sartoretti 46 5 0 09 Mar 2023
Ewald-based Long-Range Message Passing for Molecular Graphs Arthur Kosmala Johannes Gasteiger Nicholas Gao Stephan Günnemann 74 25 0 08 Mar 2023
Transformer-based Image Generation from Scene Graphs Renato Sortino S. Palazzo C. Spampinato ViT 56 15 0 08 Mar 2023
Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models? Boris Knyazev Doha Hwang Simon Lacoste-Julien AI4CE 34 17 0 07 Mar 2023
Graph Positional Encoding via Random Feature Propagation Moshe Eliasof Fabrizio Frasca Beatrice Bevilacqua Eran Treister Gal Chechik Haggai Maron 32 18 0 06 Mar 2023
Specformer: Spectral Graph Neural Networks Meet Transformers Deyu Bo Chuan Shi Lele Wang Renjie Liao 76 80 0 02 Mar 2023
Diffusing Graph Attention Daniel Glickman Eran Yahav GNN 47 3 0 01 Mar 2023
Are More Layers Beneficial to Graph Transformers? Haiteng Zhao Shuming Ma Dongdong Zhang Zhi-Hong Deng Furu Wei 27 12 0 01 Mar 2023
Single-Cell Multimodal Prediction via Transformers Wenzhuo Tang Haifang Wen Renming Liu Jiayuan Ding Wei Jin Yuying Xie Hui Liu Jiliang Tang AI4CE 24 11 0 01 Mar 2023
HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer Qiheng Mao Zemin Liu Chenghao Liu Jianling Sun 42 56 0 22 Feb 2023
A General-Purpose Transferable Predictor for Neural Architecture Search Fred X. Han Keith G. Mills Fabián A. Chudak Parsa Riahi Mohammad Salameh Jialin Zhang Wei Lu Shangling Jui Di Niu AI4CE OOD 20 2 0 21 Feb 2023
MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation Clément Vignac Nagham Osman Laura Toni P. Frossard DiffM 53 50 0 17 Feb 2023
G-Signatures: Global Graph Propagation With Randomized Signatures Bernhard Schafl Lukas Gruber Johannes Brandstetter Sepp Hochreiter 22 2 0 17 Feb 2023
Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures Nhat-Khang Ngô Truong-Son Hy Risi Kondor ViT AI4CE 31 2 0 17 Feb 2023
Energy Transformer Benjamin Hoover Yuchen Liang Bao Pham Yikang Shen Hendrik Strobelt Duen Horng Chau Mohammed J. Zaki Dmitry Krotov ViT 28 42 0 14 Feb 2023
Attending to Graph Transformers Luis Muller Mikhail Galkin Christopher Morris Ladislav Rampášek 52 86 0 08 Feb 2023
GPS++: Reviving the Art of Message Passing for Molecular Property Prediction Dominic Masters Josef Dean Kerstin Klaser Zhiyi Li Sam Maddrell-Mander ... D. Beker Andrew Fitzgibbon Shenyang Huang Ladislav Rampášek Dominique Beaini 38 8 0 06 Feb 2023
Generative Diffusion Models on Graphs: Methods and Applications Junfeng Fang Wenqi Fan Yunqing Liu Jiatong Li Hang Li Hui Liu Jiliang Tang Qing Li MedIm DiffM 34 58 0 06 Feb 2023
GRANDE: a neural model over directed multigraphs with application to anti-money laundering Ruofan Wu Boqun Ma Hong Jin Wenlong Zhao Weiqiang Wang Tianyi Zhang 19 143 0 04 Feb 2023
KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair Nan Jiang Thibaud Lutellier Yiling Lou Lin Tan Dan Goldwasser Xinming Zhang 24 43 0 03 Feb 2023
A Survey of Deep Learning: From Activations to Transformers Johannes Schneider Michalis Vlachos ViT MedIm AI4TS AI4CE 50 9 0 01 Feb 2023
Transformers Meet Directed Graphs Simon Geisler Yujia Li D. Mankowitz A. Cemgil Stephan Günnemann Cosmin Paduraru 27 35 0 31 Jan 2023
Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks Wendong Bi Bingbing Xu Xiaoqian Sun Zidong Wang Huawei Shen Xueqi Cheng AI4TS 40 31 0 31 Jan 2023
Graph Mixer Networks Ahmet Sarigün 20 0 0 29 Jan 2023
On the Connection Between MPNN and Graph Transformer Chen Cai Truong-Son Hy Rose Yu Yusu Wang 41 51 0 27 Jan 2023
ARiADNE: A Reinforcement learning approach using Attention-based Deep Networks for Exploration Yuhong Cao Tianxiang Hou Yizhuo Wang Xian Yi Guillaume Sartoretti 27 29 0 27 Jan 2023