Equivariant Subgraph Aggregation Networks

6 October 2021

Beatrice Bevilacqua

Fabrizio Frasca

Derek Lim

Balasubramaniam Srinivasan

Papers citing "Equivariant Subgraph Aggregation Networks"

50 / 128 papers shown

Title
Simplifying Graph Transformers Liheng Ma Soumyasundar Pal Yingxue Zhang Philip H. S. Torr Mark J. Coates 26 0 0 17 Apr 2025
Towards Efficient Training of Graph Neural Networks: A Multiscale Approach Eshed Gal Moshe Eliasof Carola-Bibiane Schönlieb Eldad Haber Eran Treister GNN AI4CE 60 0 0 25 Mar 2025
Homomorphism Expressivity of Spectral Invariant Graph Neural Networks Jingchu Gai Yiheng Du Bohang Zhang Haggai Maron Liwei Wang 43 0 0 01 Mar 2025
TRIX: A More Expressive Model for Zero-shot Domain Transfer in Knowledge Graphs Yucheng Zhang Beatrice Bevilacqua Mikhail Galkin Bruno Ribeiro 61 2 0 26 Feb 2025
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings Asiri Wijesinghe Hao Zhu Piotr Koniusz 40 0 0 22 Feb 2025
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally X. Wang Muhan Zhang 102 0 0 04 Feb 2025
Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality Joshua Southern Yam Eitan Guy Bar-Shalom Michael M. Bronstein Haggai Maron Fabrizio Frasca 33 0 0 06 Jan 2025
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings Billy Joe Franks Moshe Eliasof Semih Cantürk Guy Wolf Carola-Bibiane Schönlieb Sophie Fellenz Marius Kloft AI4CE 76 0 0 10 Dec 2024
Multigraph Message Passing with Bi-Directional Multi-Edge Aggregations H. Çağrı Bilgi Lydia Y. Chen Kubilay Atasu 81 1 0 29 Nov 2024
On the Utilization of Unique Node Identifiers in Graph Neural Networks Maya Bechler-Speicher Moshe Eliasof Carola-Bibiane Schönlieb Ran Gilad-Bachrach Amir Globerson 33 0 0 04 Nov 2024
Towards Bridging Generalization and Expressivity of Graph Neural Networks Shouheng Li Floris Geerts Dongwoo Kim Qing Wang 28 0 0 14 Oct 2024
Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representations Yonatan Sverdlov Ido Springer Nadav Dym 32 2 0 09 Oct 2024
Towards Dynamic Graph Neural Networks with Provably High-Order Expressive Power Zhe Wang Tianjian Zhao Zhen Zhang Jiawei Chen Sheng Zhou Yan Feng Chun Chen Can Wang 23 1 0 02 Oct 2024
Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks Mitchell Keren Taraday Almog David Chaim Baskin 26 0 0 28 Sep 2024
Foundations and Frontiers of Graph Learning Theory Yu Huang Min Zhou Menglin Yang Zhen Wang Muhan Zhang Jie Wang Hong Xie Hao Wang Defu Lian Enhong Chen AI4CE GNN 50 2 0 03 Jul 2024
Improving the Expressiveness of $K$ -hop Message-Passing GNNs by Injecting Contextualized Substructure Information Tianjun Yao Yiongxu Wang Kun Zhang Shangsong Liang 33 11 0 27 Jun 2024
Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs J. V. Pichowski Vincenzo Perri Lisi Qarkaxhija Ingo Scholtes 34 1 0 24 Jun 2024
Demystifying Higher-Order Graph Neural Networks Maciej Besta Florian Scheidl Lukas Gianinazzi S. Klaiman Jürgen Müller Torsten Hoefler 38 2 0 18 Jun 2024
A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening Guy Bar-Shalom Yam Eitan Fabrizio Frasca Haggai Maron 32 1 0 13 Jun 2024
On the Hölder Stability of Multiset and Graph Neural Networks Yair Davidson Nadav Dym 41 0 0 11 Jun 2024
On the Expressive Power of Spectral Invariant Graph Neural Networks Bohang Zhang Lingxiao Zhao Haggai Maron 42 8 0 06 Jun 2024
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters Y. Lin Ronen Talmon Ron Levie 34 0 0 03 Jun 2024
Occlusion Handling in 3D Human Pose Estimation with Perturbed Positional Encoding Niloofar Azizi Mohsen Fayyaz Horst Bischof 29 0 0 27 May 2024
Graph as Point Set Xiyuan Wang Pan Li Muhan Zhang GNN 3DPC PINN 40 4 0 05 May 2024
GRANOLA: Adaptive Normalization for Graph Neural Networks Moshe Eliasof Beatrice Bevilacqua Carola-Bibiane Schönlieb Haggai Maron 33 5 0 20 Apr 2024
Fast Encoder-Based 3D from Casual Videos via Point Track Processing Yoni Kasten Wuyue Lu Haggai Maron 3DPC 27 2 0 10 Apr 2024
Spectral Graph Pruning Against Over-Squashing and Over-Smoothing Adarsh Jamadandi Celia Rubio-Madrigal R. Burkholz 40 1 0 06 Apr 2024
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning Raffaele Paolino Sohir Maskey Pascal Welke Gitta Kutyniok 28 2 0 20 Mar 2024
Representing Molecules as Random Walks Over Interpretable Grammars Michael Sun Minghao Guo Weize Yuan Veronika Thost C. Owens ... Hassan Mohiuddin Benjamin J Pedretti Zachary P Smith Jie Chen Wojciech Matusik 27 1 0 13 Mar 2024
Local Vertex Colouring Graph Neural Networks Shouheng Li Dongwoo Kim Qing Wang 58 1 0 10 Mar 2024
Generalization of Graph Neural Networks through the Lens of Homomorphism Shouheng Li Dongwoo Kim Qing Wang 34 1 0 10 Mar 2024
Graph Mamba: Towards Learning on Graphs with State Space Models Ali Behrouz Farnoosh Hashemi AI4CE 104 58 0 13 Feb 2024
Homomorphism Counts for Graph Neural Networks: All About That Basis Emily Jin Michael M. Bronstein .Ismail .Ilkan Ceylan Matthias Lanzinger 24 10 0 13 Feb 2024
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products Guy Bar-Shalom Beatrice Bevilacqua Haggai Maron AI4CE 20 6 0 13 Feb 2024
Message Detouring: A Simple Yet Effective Cycle Representation for Expressive Graph Learning Ziquan Wei Tingting Dan Guorong Wu 37 0 0 12 Feb 2024
Weisfeiler-Leman at the margin: When more expressivity matters Billy J. Franks Christopher Morris A. Velingker Floris Geerts 50 9 0 12 Feb 2024
On the Completeness of Invariant Geometric Deep Learning Models Zian Li Xiyuan Wang Shijia Kang Muhan Zhang 31 2 0 07 Feb 2024
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation Lingxiao Zhao Xueying Ding L. Akoglu DiffM 21 8 0 06 Feb 2024
Future Directions in the Theory of Graph Machine Learning Christopher Morris Fabrizio Frasca Nadav Dym Haggai Maron .Ismail .Ilkan Ceylan Ron Levie Derek Lim Michael M. Bronstein Martin Grohe Stefanie Jegelka AI4CE 30 4 0 03 Feb 2024
GNN-LoFI: a Novel Graph Neural Network through Localized Feature-based Histogram Intersection Alessandro Bicciato Luca Cosmo G. Minello Luca Rossi A. Torsello 15 2 0 17 Jan 2024
Saliency-Aware Regularized Graph Neural Network Wenjie Pei Weina Xu Zongze Wu Weichao Li Jinfan Wang Guangming Lu Xiangrong Wang 17 4 0 01 Jan 2024
Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings Nurudin Alvarez-Gonzalez Andreas Kaltenbrunner Vicencc Gómez 14 2 0 10 Dec 2023
PyTorch Geometric High Order: A Unified Library for High Order Graph Neural Network Xiyuan Wang Muhan Zhang AI4CE 13 3 0 28 Nov 2023
Efficient Subgraph GNNs by Learning Effective Selection Policies Beatrice Bevilacqua Moshe Eliasof E. Meirom Bruno Ribeiro Haggai Maron 20 13 0 30 Oct 2023
Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes Cai Zhou Xiyuan Wang Muhan Zhang 31 14 0 30 Oct 2023
Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding Jiangyan Ma Yifei Wang Yisen Wang 30 13 0 28 Oct 2023
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules Zhiyuan Liu Yaorui Shi An Zhang Enzhi Zhang Kenji Kawaguchi Xiang Wang Tat-Seng Chua AI4CE 26 35 0 23 Oct 2023
On the Stability of Expressive Positional Encodings for Graphs Yinan Huang William Lu Joshua Robinson Yu Yang Muhan Zhang Stefanie Jegelka Pan Li 24 8 0 04 Oct 2023
Cooperative Graph Neural Networks Ben Finkelshtein Xingyue Huang Michael M. Bronstein .Ismail .Ilkan Ceylan GNN 32 19 0 02 Oct 2023
Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power Junru Zhou Jiarui Feng Xiyuan Wang Muhan Zhang 19 8 0 10 Sep 2023