Residual Gated Graph ConvNets

20 November 2017

Papers citing "Residual Gated Graph ConvNets"

48 / 98 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
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
High-Order Pooling for Graph Neural Networks with Tensor Decomposition Chenqing Hua Guillaume Rabusseau Jian Tang 75 25 0 24 May 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 34 56 0 19 May 2022
LayoutXLM vs. GNN: An Empirical Evaluation of Relation Extraction for Documents Hervé Déjean S. Clinchant Jean-Luc Meunier 22 4 0 09 May 2022
Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition Cheng Luo Siyang Song Weicheng Xie Linlin Shen Hatice Gunes CVBM 33 120 0 02 May 2022
Graph Anisotropic Diffusion Ahmed A. A. Elhag Gabriele Corso Hannes Stärk Michael M. Bronstein DiffM GNN 25 0 0 30 Apr 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
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 49 142 0 25 Feb 2022
More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks Jing Xu Rui Wang Stefanos Koffas K. Liang S. Picek FedML AAML 39 25 0 07 Feb 2022
Graph-Coupled Oscillator Networks T. Konstantin Rusch B. Chamberlain J. Rowbottom S. Mishra M. Bronstein 42 105 0 04 Feb 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
ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection Van-Anh Nguyen Dai Quoc Nguyen Van Nguyen Trung Le Quan Hung Tran Dinh Q. Phung 31 109 0 14 Oct 2021
A Comparison of Neural Network Architectures for Data-Driven Reduced-Order Modeling A. Gruber M. Gunzburger L. Ju Zhu Wang GNN 35 62 0 05 Oct 2021
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks Yongcheng Jing Yiding Yang Xinchao Wang Xiuming Zhang Dacheng Tao 19 38 0 27 Sep 2021
Graph Neural Networks for Graph Drawing Matteo Tiezzi Gabriele Ciravegna Marco Gori 26 20 0 21 Sep 2021
Feature Correlation Aggregation: on the Path to Better Graph Neural Networks Jieming Zhou Tong Zhang Pengfei Fang L. Petersson Mehrtash Harandi GNN 28 1 0 20 Sep 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
Enhancing Social Relation Inference with Concise Interaction Graph and Discriminative Scene Representation Xiaotian Yu Hanling Yi Yi Yu Ling Xing Shiliang Zhang Xiaoyu Wang GNN 34 0 0 30 Jul 2021
PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs Pu Ren Chengping Rao Yang Liu Jianxun Wang Hao Sun DiffM AI4CE 41 193 0 26 Jun 2021
The Neurally-Guided Shape Parser: Grammar-based Labeling of 3D Shape Regions with Approximate Inference R. K. Jones Aalia Habib Rana Hanocka Brown University 17 9 0 22 Jun 2021
Graph Neural Networks with Local Graph Parameters Pablo Barceló Floris Geerts Juan L. Reutter Maksimilian Ryschkov 24 65 0 12 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
Breaking the Limits of Message Passing Graph Neural Networks M. Balcilar Pierre Héroux Benoit Gaüzère Pascal Vasseur Sébastien Adam P. Honeine 21 121 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
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 32 347 0 18 Feb 2021
Topological Graph Neural Networks Max Horn E. Brouwer Michael Moor Yves Moreau Bastian Alexander Rieck Karsten M. Borgwardt AI4CE 25 90 0 15 Feb 2021
A Generalization of Transformer Networks to Graphs Vijay Prakash Dwivedi Xavier Bresson AI4CE 50 720 0 17 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 116 0 16 Dec 2020
A Graph Neural Network Approach for Scalable and Dynamic IP Similarity in Enterprise Networks Hazem M. Soliman Geoffrey Salmon Dusan Sovilj M. Rao 22 4 0 09 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 30 225 0 30 Sep 2020
Learning Graph Normalization for Graph Neural Networks Yihao Chen Xin Tang Xianbiao Qi Chun-Guang Li Rong Xiao AI4CE 14 50 0 24 Sep 2020
A community-powered search of machine learning strategy space to find NMR property prediction models Lars A. Bratholm W. Gerrard Brandon M. Anderson Shaojie Bai Sunghwan Choi ... A. Torrubia Devin Willmott C. Butts David R. Glowacki Kaggle participants 16 16 0 13 Aug 2020
Graph Neural Networks: Architectures, Stability and Transferability Luana Ruiz Fernando Gama Alejandro Ribeiro GNN 53 122 0 04 Aug 2020
Policy-GNN: Aggregation Optimization for Graph Neural Networks Kwei-Herng Lai Daochen Zha Kaixiong Zhou Xia Hu 21 90 0 26 Jun 2020
Hierarchical Inter-Message Passing for Learning on Molecular Graphs Matthias Fey Jan-Gin Yuen F. Weichert GNN 39 86 0 22 Jun 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting Giorgos Bouritsas Fabrizio Frasca S. Zafeiriou M. Bronstein 58 424 0 16 Jun 2020
Global Attention Improves Graph Networks Generalization Omri Puny Heli Ben-Hamu Y. Lipman 27 22 0 14 Jun 2020
A benchmark study on reliable molecular supervised learning via Bayesian learning Doyeong Hwang Grace Lee Hanseok Jo Seyoul Yoon Seongok Ryu 22 9 0 12 Jun 2020
Principal Neighbourhood Aggregation for Graph Nets Gabriele Corso Luca Cavalleri Dominique Beaini Pietro Lió Petar Velickovic GNN 27 651 0 12 Apr 2020
CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries Han Yang Xingjian Zhen Ying Chi Lei Zhang Xiansheng Hua MedIm 19 43 0 19 Mar 2020
Bayesian Graph Convolutional Neural Networks using Node Copying Soumyasundar Pal Florence Regol Mark J. Coates BDL GNN 33 12 0 08 Nov 2019
How to Evaluate Machine Learning Approaches for Combinatorial Optimization: Application to the Travelling Salesman Problem Antoine François Quentin Cappart Louis-Martin Rousseau 19 13 0 28 Sep 2019
A Two-Step Graph Convolutional Decoder for Molecule Generation Xavier Bresson T. Laurent 17 60 0 08 Jun 2019
Bayesian graph convolutional neural networks for semi-supervised classification Yingxue Zhang Soumyasundar Pal Mark J. Coates Deniz Üstebay GNN BDL 21 227 0 27 Nov 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
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,240 0 24 Nov 2016