Equivariant Polynomials for Graph Neural Networks

22 February 2023

Papers citing "Equivariant Polynomials for Graph Neural Networks"

29 / 29 papers shown

Title
TeleLoRA: Teleporting Model-Specific Alignment Across LLMs Xiao Lin Manoj Acharya Anirban Roy Susmit Jha MoMe 68 0 0 26 Mar 2025
Permutation Equivariant Neural Networks for Symmetric Tensors Edward Pearce-Crump 46 0 0 14 Mar 2025
TRIX: A More Expressive Model for Zero-shot Domain Transfer in Knowledge Graphs Yucheng Zhang Beatrice Bevilacqua Mikhail Galkin Bruno Ribeiro 56 1 0 26 Feb 2025
Do Graph Diffusion Models Accurately Capture and Generate Substructure Distributions? X. Wang Y. Liu Lexi Pang Siwei Chen Muhan Zhang DiffM 89 0 0 04 Feb 2025
$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation Yinshuang Xu Dian Chen Katherine Liu Sergey Zakharov Rares Ambrus Kostas Daniilidis Vitor Campagnolo Guizilini MDE 24 0 0 11 Nov 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 37 2 0 28 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
What Ails Generative Structure-based Drug Design: Expressivity is Too Little or Too Much? Rafał Karczewski Samuel Kaski Markus Heinonen Vikas K. Garg 27 0 0 12 Aug 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 43 2 0 03 Jul 2024
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function Krishna Sri Ipsit Mantri Xinzhi Wang Carola-Bibiane Schönlieb Bruno Ribeiro Beatrice Bevilacqua Moshe Eliasof GNN 41 1 0 02 Jul 2024
Separation Power of Equivariant Neural Networks Marco Pacini Xiaowen Dong Bruno Lepri G. Santin 21 0 0 13 Jun 2024
Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency Yuchao Lin Jacob Helwig Shurui Gui Shuiwang Ji 29 7 0 11 Jun 2024
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters Y. Lin Ronen Talmon Ron Levie 28 0 0 03 Jun 2024
GRANOLA: Adaptive Normalization for Graph Neural Networks Moshe Eliasof Beatrice Bevilacqua Carola-Bibiane Schönlieb Haggai Maron 24 5 0 20 Apr 2024
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time Chenhui Deng Zichao Yue Zhiru Zhang 81 23 0 02 Mar 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
Weisfeiler-Leman at the margin: When more expressivity matters Billy J. Franks Christopher Morris A. Velingker Floris Geerts 42 9 0 12 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 27 4 0 03 Feb 2024
Towards Principled Graph Transformers Luis Muller Daniel Kusuma Blai Bonet Christopher Morris 18 0 0 18 Jan 2024
A Characterization Theorem for Equivariant Networks with Point-wise Activations Marco Pacini Xiaowen Dong Bruno Lepri G. Santin 29 2 0 17 Jan 2024
Expressive Sign Equivariant Networks for Spectral Geometric Learning Derek Lim Joshua Robinson Stefanie Jegelka Haggai Maron 43 16 0 04 Dec 2023
Efficient Subgraph GNNs by Learning Effective Selection Policies Beatrice Bevilacqua Moshe Eliasof E. Meirom Bruno Ribeiro Haggai Maron 18 13 0 30 Oct 2023
Expectation-Complete Graph Representations with Homomorphisms Pascal Welke Maximilian Thiessen Fabian Jogl Thomas Gärtner 11 5 0 09 Jun 2023
Fine-grained Expressivity of Graph Neural Networks Jan Böker Ron Levie Ningyuan Huang Soledad Villar Christopher Morris 15 20 0 06 Jun 2023
WL meet VC Christopher Morris Floris Geerts Jan Tonshoff Martin Grohe 28 26 0 26 Jan 2023
Weisfeiler and Leman go Machine Learning: The Story so far Christopher Morris Y. Lipman Haggai Maron Bastian Alexander Rieck Nils M. Kriege Martin Grohe Matthias Fey Karsten M. Borgwardt GNN 16 110 0 18 Dec 2021
Frame Averaging for Invariant and Equivariant Network Design Omri Puny Matan Atzmon Heli Ben-Hamu Ishan Misra Aditya Grover Edward James Smith Y. Lipman FedML 33 90 0 07 Oct 2021
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 117 78 0 01 Oct 2021
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 178 907 0 02 Mar 2020