Natural Graph Networks

16 July 2020

Papers citing "Natural Graph Networks"

25 / 25 papers shown

Title
CanonNet: Canonical Ordering and Curvature Learning for Point Cloud Analysis Benjy Friedmann Michael Werman 3DPC 37 0 0 03 Apr 2025
The Role of Fibration Symmetries in Geometric Deep Learning Osvaldo Velarde Lucas Parra Paolo Boldi Hernan Makse FedML AI4CE 44 2 0 28 Aug 2024
Improving the Expressiveness of $K$ -hop Message-Passing GNNs by Injecting Contextualized Substructure Information Tianjun Yao Yiongxu Wang Kun Zhang Shangsong Liang 38 11 0 27 Jun 2024
Probabilistic Graph Rewiring via Virtual Nodes Chendi Qian Andrei Manolache Christopher Morris Mathias Niepert AI4CE 38 3 0 27 May 2024
The Topos of Transformer Networks Mattia Jacopo Villani Peter McBurney 37 0 0 27 Mar 2024
Position: Categorical Deep Learning is an Algebraic Theory of All Architectures Bruno Gavranovic Paul Lessard Andrew Dudzik Tamara von Glehn J. G. Araújo Petar Velickovic 40 8 0 23 Feb 2024
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review Baran Hashemi Claudius Krause 30 16 0 15 Dec 2023
Equivariant Matrix Function Neural Networks Ilyes Batatia Lars L. Schaaf Huajie Chen Gábor Csányi Christoph Ortner Felix A. Faber 32 5 0 16 Oct 2023
Probabilistically Rewired Message-Passing Neural Networks Chendi Qian Andrei Manolache Kareem Ahmed Zhe Zeng Mathias Niepert Mathias Niepert Christopher Morris 39 12 0 03 Oct 2023
Higher-order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes Yiming Huang Yujie Zeng Qiang Wu Linyuan Lu 27 18 0 22 Sep 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
Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes Quang Truong Peter Chin GNN 27 7 0 13 Aug 2023
CIN++: Enhancing Topological Message Passing Lorenzo Giusti Teodora Reu Francesco Ceccarelli Cristian Bodnar Pietro Lio GNN 32 7 0 06 Jun 2023
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics Yivan Zhang Masashi Sugiyama 22 1 0 19 May 2023
A Category-theoretical Meta-analysis of Definitions of Disentanglement Yivan Zhang Masashi Sugiyama 38 3 0 11 May 2023
Graph Filters for Signal Processing and Machine Learning on Graphs Elvin Isufi Fernando Gama D. Shuman Santiago Segarra GNN 38 63 0 16 Nov 2022
Learning Physical Dynamics with Subequivariant Graph Neural Networks Jiaqi Han Wenbing Huang Hengbo Ma Jiachen Li J. Tenenbaum Chuang Gan AI4CE PINN 40 43 0 13 Oct 2022
Towards a Grounded Theory of Causation for Embodied AI Taco S. Cohen CML 27 8 0 28 Jun 2022
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries Fabrizio Frasca Beatrice Bevilacqua Michael M. Bronstein Haggai Maron 43 125 0 22 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 46 0 0 31 May 2022
Scalable algorithms for physics-informed neural and graph networks K. Shukla Mengjia Xu N. Trask George Karniadakis PINN AI4CE 72 40 0 16 May 2022
Weisfeiler and Lehman Go Cellular: CW Networks Cristian Bodnar Fabrizio Frasca N. Otter Yu Guang Wang Pietro Lió Guido Montúfar M. Bronstein GNN 33 224 0 23 Jun 2021
Zero-shot Node Classification with Decomposed Graph Prototype Network Zheng Wang Jialong Wang Yuchen Guo Zhiguo Gong 13 36 0 15 Jun 2021
Kähler Geometry of Quiver Varieties and Machine Learning G. Jeffreys Siu-Cheong Lau 18 5 0 27 Jan 2021
A Practical Tutorial on Graph Neural Networks I. Ward J. Joyner C. Lickfold Yulan Guo Bennamoun GNN AI4CE 24 12 0 11 Oct 2020