Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks

4 October 2018

Papers citing "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks"

50 / 808 papers shown

Title
Curvature Filtrations for Graph Generative Model Evaluation Joshua Southern Jeremy Wayland Michael M. Bronstein Bastian Alexander Rieck 23 14 0 30 Jan 2023
Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural Networks Antoine Louis Gijs van Dijck Gerasimos Spanakis AILaw 21 9 0 30 Jan 2023
Equivariant Architectures for Learning in Deep Weight Spaces Aviv Navon Aviv Shamsian Idan Achituve Ethan Fetaya Gal Chechik Haggai Maron 44 63 0 30 Jan 2023
WL meet VC Christopher Morris Floris Geerts Jan Tonshoff Martin Grohe 38 27 0 26 Jan 2023
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure Ryoma Sato 34 5 0 26 Jan 2023
A Structural Approach to the Design of Domain Specific Neural Network Architectures Gerrit Nolte 13 0 0 23 Jan 2023
On the Expressive Power of Geometric Graph Neural Networks Chaitanya K. Joshi Cristian Bodnar Simon V. Mathis Taco Cohen Pietro Liò 55 83 0 23 Jan 2023
Multi-agent Reinforcement Learning with Graph Q-Networks for Antenna Tuning Maxime Bouton Jaeseong Jeong José Outes Carnero Adriano Mendo Alexandros Nikou 24 1 0 20 Jan 2023
Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective Hang Gao Jiangmeng Li Jingyao Wang Hui Xiong Xingzhe Su Feng Wu Changwen Zheng Gang Hua 39 0 0 20 Jan 2023
Everything is Connected: Graph Neural Networks Petar Velickovic GNN AI4CE 22 179 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
Stretched and measured neural predictions of complex network dynamics V. Vasiliauskaite Nino Antulov-Fantulin 25 1 0 12 Jan 2023
A Network Science perspective of Graph Convolutional Networks: A survey Mingshan Jia Bogdan Gabrys Katarzyna Musial GNN 32 7 0 12 Jan 2023
Unsupervised Learning for Combinatorial Optimization Needs Meta-Learning Hao Wang Pan Li 13 14 0 08 Jan 2023
Multi-Vehicle Trajectory Prediction at Intersections using State and Intention Information Dekai Zhu Qadeer Ahmad Khan Daniel Cremers 29 1 0 06 Jan 2023
WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users across Networks via Regularized Representation Learning Li Liu Peng Chen Xuzhao Li William K. Cheung Youmin Zhang Qun Liu Guoyin Wang 13 13 0 29 Dec 2022
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
kHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning Menglin Yang Min Zhou Lujia Pan Irwin King 21 18 0 04 Dec 2022
Autonomous Apple Fruitlet Sizing and Growth Rate Tracking using Computer Vision Harry Freeman Mohamad Qadri Abhisesh Silwal Paul O'Connor Zachary B. Rubinstein D. Cooley George Kantor 17 3 0 03 Dec 2022
AIO-P: Expanding Neural Performance Predictors Beyond Image Classification Keith G. Mills Di Niu Mohammad Salameh Weichen Qiu Fred X. Han Puyuan Liu Jialin Zhang Wei Lu Shangling Jui 33 7 0 30 Nov 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 19 4 0 30 Nov 2022
Weisfeiler and Leman Go Relational Pablo Barceló Mikhail Galkin Christopher Morris Miguel Romero Orth GNN 39 27 0 30 Nov 2022
Towards Training GNNs using Explanation Directed Message Passing V. Giunchiglia Chirag Varun Shukla Guadalupe Gonzalez Chirag Agarwal 27 7 0 30 Nov 2022
On the Ability of Graph Neural Networks to Model Interactions Between Vertices Noam Razin Tom Verbin Nadav Cohen 23 10 0 29 Nov 2022
Beyond 1-WL with Local Ego-Network Encodings Nurudin Alvarez-Gonzalez Andreas Kaltenbrunner Vicencc Gómez 38 5 0 27 Nov 2022
EurNet: Efficient Multi-Range Relational Modeling of Spatial Multi-Relational Data Minghao Xu Yuanfan Guo Yi Xu Jiangtao Tang Xinlei Chen Yuandong Tian GNN 8 6 0 23 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
Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks Anders Aamand Justin Y. Chen Piotr Indyk Shyam Narayanan R. Rubinfeld Nicholas Schiefer Sandeep Silwal Tal Wagner 39 21 0 06 Nov 2022
Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations Giannis Nikolentzos Michail Chatzianastasis Michalis Vazirgiannis 13 7 0 04 Nov 2022
Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks Sadegh Mahdavi Kevin Swersky Thomas Kipf Milad Hashemi Christos Thrampoulidis Renjie Liao LRM OOD NAI 45 25 0 01 Nov 2022
GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous Graphs Marios Papachristou Rishab Goel Frank Portman M. Miller Rong Jin 18 0 0 01 Nov 2022
The Open MatSci ML Toolkit: A Flexible Framework for Machine Learning in Materials Science Santiago Miret Kin Long Kelvin Lee Carmelo Gonzales Marcel Nassar Matthew Spellings 38 19 0 31 Oct 2022
Improving Graph Neural Networks with Learnable Propagation Operators Moshe Eliasof Lars Ruthotto Eran Treister 34 20 0 31 Oct 2022
PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks Yong-Min Shin Sun-Woo Kim Won-Yong Shin 34 4 0 31 Oct 2022
A Comparative Study of Graph Neural Networks for Shape Classification in Neuroimaging N. Shehata Wulfie Bain Ben Glocker 30 2 0 29 Oct 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 27 0 27 Oct 2022
Federated Graph Representation Learning using Self-Supervision Susheel Suresh Daniel Godbout Arko Provo Mukherjee Mayank Shrivastava Jennifer Neville Pan Li OOD FedML 38 2 0 27 Oct 2022
Meta-node: A Concise Approach to Effectively Learn Complex Relationships in Heterogeneous Graphs Jiwoong Park Jisu Jeong Kyungmin Kim Jin Young Choi 22 1 0 26 Oct 2022
Boosting the Cycle Counting Power of Graph Neural Networks with I $^2$ -GNNs Yinan Huang Xingang Peng Jianzhu Ma Muhan Zhang 84 47 0 22 Oct 2022
Efficient Automatic Machine Learning via Design Graphs Shirley Wu Jiaxuan You J. Leskovec Rex Ying GNN 19 1 0 21 Oct 2022
FoSR: First-order spectral rewiring for addressing oversquashing in GNNs Kedar Karhadkar P. Banerjee Guido Montúfar 26 56 0 21 Oct 2022
Extending Graph Transformers with Quantum Computed Aggregation Slimane Thabet Romain Fouilland L. Henriet GNN 30 3 0 19 Oct 2022
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks Alessio Gravina D. Bacciu Claudio Gallicchio GNN 19 50 0 18 Oct 2022
A Practical, Progressively-Expressive GNN Lingxiao Zhao Louis Härtel Neil Shah L. Akoglu 32 17 0 18 Oct 2022
Uplifting Message Passing Neural Network with Graph Original Information Xiao Liu Lijun Zhang Hui Guan GNN 26 2 0 08 Oct 2022
Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs Silvia Beddar-Wiesing Giuseppe Alessio D’Inverno C. Graziani Veronica Lachi Alice Moallemy-Oureh F. Scarselli J. M. Thomas 31 9 0 08 Oct 2022
ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction Dawid Rymarczyk D. Dobrowolski Tomasz Danel 35 3 0 07 Oct 2022
Expander Graph Propagation Andreea Deac Marc Lackenby Petar Velivcković 96 52 0 06 Oct 2022