Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks

1 March 2022

Papers citing "Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks"

30 / 80 papers shown

Title
Graph Positional and Structural Encoder Semih Cantürk Renming Liu Olivier Lapointe-Gagné Vincent Létourneau Guy Wolf Dominique Beaini Ladislav Rampášek 46 16 0 14 Jul 2023
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking Juanhui Li Harry Shomer Haitao Mao Shenglai Zeng Yao Ma Neil Shah Jiliang Tang Dawei Yin 81 51 0 18 Jun 2023
Classification of Edge-dependent Labels of Nodes in Hypergraphs Minyoung Choe Sunwoo Kim Jaemin Yoo Kijung Shin GNN 33 10 0 05 Jun 2023
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders Dingsu Wang Yuchen Yan Ruizhong Qiu Yada Zhu Kaiyu Guan A. Margenot Hanghang Tong AI4TS 43 28 0 29 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 40 85 0 27 May 2023
DRew: Dynamically Rewired Message Passing with Delay Benjamin Gutteridge Xiaowen Dong Michael M. Bronstein Francesco Di Giovanni 44 59 0 13 May 2023
Graph Positional Encoding via Random Feature Propagation Moshe Eliasof Fabrizio Frasca Beatrice Bevilacqua Eran Treister Gal Chechik Haggai Maron 34 18 0 06 Mar 2023
Diffusing Graph Attention Daniel Glickman Eran Yahav GNN 47 3 0 01 Mar 2023
Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures Nhat-Khang Ngô Truong-Son Hy Risi Kondor ViT AI4CE 34 2 0 17 Feb 2023
A Survey on Spectral Graph Neural Networks Deyu Bo Xiao Wang Yang Liu Yuan Fang Yawen Li Chuan Shi 40 26 0 11 Feb 2023
Lorentz Equivariant Model for Knowledge-Enhanced Hyperbolic Collaborative Filtering Bosong Huang Weihao Yu Ruzhong Xie Jing Xiao Jin Huang 40 0 0 09 Feb 2023
Attending to Graph Transformers Luis Muller Mikhail Galkin Christopher Morris Ladislav Rampášek 57 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 41 8 0 06 Feb 2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing Yunchong Song Cheng Zhou Xinbing Wang Zhouhan Lin 34 64 0 03 Feb 2023
Transformers Meet Directed Graphs Simon Geisler Yujia Li D. Mankowitz A. Cemgil Stephan Günnemann Cosmin Paduraru 31 36 0 31 Jan 2023
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
Generalized Laplacian Positional Encoding for Graph Representation Learning Sohir Maskey Alipanah Parviz Maximilian Thiessen Hannes Stärk Ylli Sadikaj Haggai Maron AI4CE 41 16 0 28 Oct 2022
Graph Neural Networks for Link Prediction with Subgraph Sketching B. Chamberlain S. Shirobokov Emanuele Rossi Fabrizio Frasca Thomas Markovich Nils Y. Hammerla Michael M. Bronstein Max Hansmire 57 78 0 30 Sep 2022
Provably expressive temporal graph networks Amauri Souza Diego Mesquita Samuel Kaski Vikas K. Garg 89 55 0 29 Sep 2022
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs Yijun Tian Chuxu Zhang Zhichun Guo Xiangliang Zhang Nitesh Chawla 52 14 0 22 Aug 2022
Sampling Enclosing Subgraphs for Link Prediction Paul Louis Shweta Ann Jacob Amirali Salehi-Abari GNN 30 14 0 23 Jun 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs Yangze Zhou Gitta Kutyniok Bruno Ribeiro OODD AI4CE 85 37 0 30 May 2022
Recipe for a General, Powerful, Scalable Graph Transformer Ladislav Rampášek Mikhail Galkin Vijay Prakash Dwivedi A. Luu Guy Wolf Dominique Beaini 78 522 0 25 May 2022
How Powerful are Spectral Graph Neural Networks Xiyuan Wang Muhan Zhang 80 184 0 23 May 2022
A Survey on Graph Representation Learning Methods Shima Khoshraftar A. An GNN AI4TS 44 109 0 04 Apr 2022
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning Haoteng Yin Muhan Zhang Yanbang Wang Jianguo Wang Pan Li 13 32 0 28 Feb 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
Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi A. Luu T. Laurent Yoshua Bengio Xavier Bresson GNN 197 312 0 15 Oct 2021
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 918 0 02 Mar 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 148 838 0 28 Sep 2019