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
Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction Minghao Guo Veronika Thost Samuel W Song A. Balachandran Payel Das Jie Chen Wojciech Matusik AI4CE 13 0 0 04 Sep 2023
Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability Zehao Dong Muhan Zhang Philip R. O. Payne Michael Province C. Cruchaga Tianyu Zhao Fuhai Li Yixin Chen 37 1 0 01 Sep 2023
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding Yuan Luo Hongkang Li Lei Shi Xiao-Ming Wu 23 7 0 22 Aug 2023
Approximately Equivariant Graph Networks Ningyuan Huang Ron Levie Soledad Villar 32 18 0 21 Aug 2023
The Expressive Power of Graph Neural Networks: A Survey Bingxue Zhang Changjun Fan Shixuan Liu Kuihua Huang Xiang Zhao Jin-Yu Huang Zhong Liu 40 19 0 16 Aug 2023
Probabilistic Invariant Learning with Randomized Linear Classifiers Leonardo Cotta Gal Yehuda Assaf Schuster Chris J. Maddison 10 2 0 08 Aug 2023
A Multi-Task Perspective for Link Prediction with New Relation Types and Nodes Jincheng Zhou Beatrice Bevilacqua Bruno Ribeiro 27 7 0 12 Jul 2023
PlanE: Representation Learning over Planar Graphs Radoslav Dimitrov Zeyang Zhao Ralph Abboud .Ismail .Ilkan Ceylan GNN 24 9 0 03 Jul 2023
Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications Xinyu Ma Xu Chu Yasha Wang Yang Lin Junfeng Zhao Liantao Ma Wenwu Zhu 27 6 0 28 Jun 2023
P-tensors: a General Formalism for Constructing Higher Order Message Passing Networks Tianyi Sun Andrew R. Hands Risi Kondor 13 2 0 19 Jun 2023
Path Neural Networks: Expressive and Accurate Graph Neural Networks Gaspard Michel Giannis Nikolentzos J. Lutzeyer Michalis Vazirgiannis GNN 18 25 0 09 Jun 2023
CIN++: Enhancing Topological Message Passing Lorenzo Giusti Teodora Reu Francesco Ceccarelli Cristian Bodnar Pietro Lio' GNN 32 7 0 06 Jun 2023
Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman Jiarui Feng Lecheng Kong Hao Liu Dacheng Tao Fuhai Li Muhan Zhang Yixin Chen 44 10 0 05 Jun 2023
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance Jinwoo Kim Tien Dat Nguyen Ayhan Suleymanzade Hyeokjun An Seunghoon Hong 50 23 0 05 Jun 2023
Improving Expressivity of Graph Neural Networks using Localization Anant Kumar Shrutimoy Das Shubhajit Roy Binita Maity Anirban Dasgupta 27 0 0 31 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 H. S. Torr Ser-Nam Lim AI4CE 21 85 0 27 May 2023
Edge Directionality Improves Learning on Heterophilic Graphs Emanuele Rossi Bertrand Charpentier Francesco Di Giovanni Fabrizio Frasca Stephan Günnemann Michael M. Bronstein 22 56 0 17 May 2023
What Do GNNs Actually Learn? Towards Understanding their Representations Giannis Nikolentzos Michail Chatzianastasis Michalis Vazirgiannis GNN AI4CE 8 0 0 21 Apr 2023
An Empirical Study of Realized GNN Expressiveness Yanbo Wang Muhan Zhang 37 10 0 16 Apr 2023
Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability Indro Spinelli Michele Guerra F. Bianchi Simone Scardapane 30 0 0 14 Apr 2023
The expressive power of pooling in Graph Neural Networks F. Bianchi Veronica Lachi 14 29 0 04 Apr 2023
Graph Positional Encoding via Random Feature Propagation Moshe Eliasof Fabrizio Frasca Beatrice Bevilacqua Eran Treister Gal Chechik Haggai Maron 22 18 0 06 Mar 2023
Invariant Layers for Graphs with Nodes of Different Types Dmitry Rybin Ruoyu Sun Zhimin Luo 18 0 0 27 Feb 2023
Equivariant Polynomials for Graph Neural Networks Omri Puny Derek Lim B. Kiani Haggai Maron Y. Lipman 24 31 0 22 Feb 2023
Steerable Equivariant Representation Learning Sangnie Bhardwaj Willie McClinton Tongzhou Wang Guillaume Lajoie Chen Sun Phillip Isola Dilip Krishnan OOD LLMSV 26 5 0 22 Feb 2023
Diffusion Probabilistic Models for Structured Node Classification Hyosoon Jang Seonghyun Park Sangwoo Mo Sungsoo Ahn DiffM 20 3 0 21 Feb 2023
Is Distance Matrix Enough for Geometric Deep Learning? Zian Li Xiyuan Wang Yinan Huang Muhan Zhang 37 17 0 11 Feb 2023
Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types Jianfei Gao Yangze Zhou Jincheng Zhou Bruno Ribeiro 35 9 0 02 Feb 2023
WL meet VC Christopher Morris Floris Geerts Jan Tonshoff Martin Grohe 36 26 0 26 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
Weisfeiler and Leman Go Relational Pablo Barceló Mikhail Galkin Christopher Morris Miguel Romero Orth GNN 37 27 0 30 Nov 2022
Beyond 1-WL with Local Ego-Network Encodings Nurudin Alvarez-Gonzalez Andreas Kaltenbrunner Vicencc Gómez 28 5 0 27 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
Boosting the Cycle Counting Power of Graph Neural Networks with I $^2$ -GNNs Yinan Huang Xingang Peng Jianzhu Ma Muhan Zhang 78 46 0 22 Oct 2022
A Practical, Progressively-Expressive GNN Lingxiao Zhao Louis Härtel Neil Shah L. Akoglu 23 17 0 18 Oct 2022
Linkless Link Prediction via Relational Distillation Zhichun Guo William Shiao Shichang Zhang Yozen Liu Nitesh V. Chawla Neil Shah Tong Zhao 19 41 0 11 Oct 2022
Universal Prompt Tuning for Graph Neural Networks Taoran Fang Yunchao Zhang Yang Yang Chunping Wang Lei Chen 22 47 0 30 Sep 2022
Explainability in subgraphs-enhanced Graph Neural Networks Michele Guerra Indro Spinelli Simone Scardapane F. Bianchi 16 1 0 16 Sep 2022
Equivariant Hypergraph Neural Networks Jinwoo Kim Saeyoon Oh Sungjun Cho Seunghoon Hong 19 12 0 22 Aug 2022
Sampling Enclosing Subgraphs for Link Prediction Paul Louis Shweta Ann Jacob Amirali Salehi-Abari GNN 22 14 0 23 Jun 2022
A Topological characterisation of Weisfeiler-Leman equivalence classes Jacob Bamberger GNN 17 3 0 23 Jun 2022
Ordered Subgraph Aggregation Networks Chao Qian Gaurav Rattan Floris Geerts Christopher Morris Mathias Niepert 41 56 0 22 Jun 2022
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries Fabrizio Frasca Beatrice Bevilacqua Michael M. Bronstein Haggai Maron 35 124 0 22 Jun 2022
Agent-based Graph Neural Networks Karolis Martinkus Pál András Papp Benedikt Schesch Roger Wattenhofer LLMAG GNN 29 17 0 22 Jun 2022
Boosting Graph Structure Learning with Dummy Nodes Xin Liu Cheng Jiayang Yangqiu Song Xin Jiang 3DH 12 23 0 17 Jun 2022
Taxonomy of Benchmarks in Graph Representation Learning Renming Liu Semih Cantürk Frederik Wenkel Sarah McGuire Devin Kreuzer ... Michael Perlmutter Bastian Alexander Rieck M. Hirn Guy Wolf Ladislav Rampášek OOD 21 13 0 15 Jun 2022
Empowering GNNs via Edge-Aware Weisfeiler-Leman Algorithm Meng Liu Haiyang Yu Shuiwang Ji 33 1 0 04 Jun 2022
Graph-level Neural Networks: Current Progress and Future Directions Ge Zhang Jia Wu Jian Yang Shan Xue Wenbin Hu Chuan Zhou Hao Peng Quan.Z Sheng Charu C. Aggarwal GNN AI4CE 36 0 0 31 May 2022
Going Deeper into Permutation-Sensitive Graph Neural Networks Zhongyu Huang Yingheng Wang Chaozhuo Li Huiguang He 11 31 0 28 May 2022
How Powerful are K-hop Message Passing Graph Neural Networks Jiarui Feng Yixin Chen Fuhai Li Anindya Sarkar Muhan Zhang 14 100 0 26 May 2022