Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks

4 March 2021

Papers citing "Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks"

50 / 159 papers shown

Title
From Local to Global: Spectral-Inspired Graph Neural Networks Ningyuan Huang Soledad Villar Carey E. Priebe Da Zheng Cheng-Fu Huang Lin F. Yang Vladimir Braverman 23 14 0 24 Sep 2022
Neural Graph Databases Maciej Besta Patrick Iff Florian Scheidl Kazuki Osawa Nikoli Dryden Michal Podstawski Tiancheng Chen Torsten Hoefler AI4CE 47 9 0 20 Sep 2022
Cell Attention Networks Lorenzo Giusti Claudio Battiloro Lucia Testa P. Lorenzo S. Sardellitti Sergio Barbarossa 3DPC GNN 141 32 0 16 Sep 2022
Graph Neural Network Based Node Deployment for Throughput Enhancement Yifei Yang Dongmian Zou Xiaofan He 13 5 0 19 Aug 2022
Graph neural networks for materials science and chemistry Patrick Reiser Marlen Neubert André Eberhard Luca Torresi Chen Zhou ... Houssam Metni Clint van Hoesel Henrik Schopmans T. Sommer Pascal Friederich GNN AI4CE 50 373 0 05 Aug 2022
SGAT: Simplicial Graph Attention Network See Hian Lee Feng Ji Wee Peng Tay 69 23 0 24 Jul 2022
Wasserstein Graph Distance Based on $L_1$ -Approximated Tree Edit Distance between Weisfeiler-Lehman Subtrees Zhongxi Fang Jianming Huang Xun Su Hiroyuki Kasai 21 8 0 09 Jul 2022
A Topological characterisation of Weisfeiler-Leman equivalence classes Jacob Bamberger GNN 19 3 0 23 Jun 2022
Ordered Subgraph Aggregation Networks Chao Qian Gaurav Rattan Floris Geerts Christopher Morris Mathias Niepert 41 57 0 22 Jun 2022
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries Fabrizio Frasca Beatrice Bevilacqua Michael M. Bronstein Haggai Maron 37 125 0 22 Jun 2022
On the Surprising Behaviour of node2vec Celia Hacker Bastian Alexander Rieck 14 4 0 16 Jun 2022
Empowering GNNs via Edge-Aware Weisfeiler-Leman Algorithm Meng Liu Haiyang Yu Shuiwang Ji 35 1 0 04 Jun 2022
Lower and Upper Bounds for Numbers of Linear Regions of Graph Convolutional Networks Hao Chen Yu Wang Huan Xiong GNN 16 6 0 01 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 43 0 0 31 May 2022
Going Deeper into Permutation-Sensitive Graph Neural Networks Zhongyu Huang Yingheng Wang Chaozhuo Li Huiguang He 19 31 0 28 May 2022
Transferring Chemical and Energetic Knowledge Between Molecular Systems with Machine Learning Sajjad Heydari S. Raniolo L. Livi V. Limongelli 15 2 0 06 May 2022
Graph Anisotropic Diffusion Ahmed A. A. Elhag Gabriele Corso Hannes Stärk Michael M. Bronstein DiffM GNN 22 0 0 30 Apr 2022
Simplicial Attention Networks Christopher Wei Jin Goh Cristian Bodnar Pietro Lio' GNN 37 36 0 20 Apr 2022
Theory of Graph Neural Networks: Representation and Learning Stefanie Jegelka GNN AI4CE 33 68 0 16 Apr 2022
A Survey on Graph Representation Learning Methods Shima Khoshraftar A. An GNN AI4TS 27 108 0 04 Apr 2022
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks Christopher Morris Gaurav Rattan Sandra Kiefer Siamak Ravanbakhsh 50 40 0 25 Mar 2022
Simplicial Attention Neural Networks L. Giusti Claudio Battiloro P. Lorenzo S. Sardellitti Sergio Barbarossa 40 32 0 14 Mar 2022
Message passing all the way up Petar Velickovic 111 63 0 22 Feb 2022
1-WL Expressiveness Is (Almost) All You Need Markus Zopf 19 11 0 21 Feb 2022
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs Cristian Bodnar Francesco Di Giovanni B. Chamberlain Pietro Lio' Michael M. Bronstein 32 170 0 09 Feb 2022
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings Or Feldman A. Boyarski Shai Feldman D. Kogan A. Mendelson Chaim Baskin 32 14 0 31 Jan 2022
A Theoretical Comparison of Graph Neural Network Extensions Pál András Papp Roger Wattenhofer 103 46 0 30 Jan 2022
Convolutional Filtering in Simplicial Complexes Elvin Isufi Maosheng Yang 26 14 0 29 Jan 2022
Neural Approximation of Graph Topological Features Zuoyu Yan Tengfei Ma Liangcai Gao Zhi Tang Yusu Wang Chao Chen 19 12 0 28 Jan 2022
Simplicial Convolutional Filters Maosheng Yang Elvin Isufi Michael T. Schaub G. Leus 35 32 0 27 Jan 2022
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 43 111 0 18 Dec 2021
BScNets: Block Simplicial Complex Neural Networks Yuzhou Chen Yulia R. Gel H. Vincent Poor GNN 27 33 0 13 Dec 2021
Dist2Cycle: A Simplicial Neural Network for Homology Localization A. Keros Vidit Nanda Kartic Subr 19 28 0 28 Oct 2021
Beltrami Flow and Neural Diffusion on Graphs B. Chamberlain J. Rowbottom D. Eynard Francesco Di Giovanni Xiaowen Dong M. Bronstein AI4CE 34 79 0 18 Oct 2021
Signal Processing on Cell Complexes T. Roddenberry Michael T. Schaub Mustafa Hajij 16 40 0 11 Oct 2021
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness Lingxiao Zhao Wei Jin L. Akoglu Neil Shah GNN 24 160 0 07 Oct 2021
Equivariant Subgraph Aggregation Networks Beatrice Bevilacqua Fabrizio Frasca Derek Lim Balasubramaniam Srinivasan Chen Cai G. Balamurugan M. Bronstein Haggai Maron 53 175 0 06 Oct 2021
Simplicial Convolutional Neural Networks Maosheng Yang Elvin Isufi G. Leus GNN 65 57 0 06 Oct 2021
Cycle Representation Learning for Inductive Relation Prediction Zuoyu Yan Tengfei Ma Liangcai Gao Zhi Tang Chao Chen 21 20 0 06 Oct 2021
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 130 78 0 01 Oct 2021
Geometric Deep Learning on Molecular Representations Kenneth Atz F. Grisoni G. Schneider AI4CE 34 287 0 26 Jul 2021
Generalization of graph network inferences in higher-order graphical models Yicheng Fei Xaq Pitkow 16 0 0 12 Jul 2021
On the Expected Complexity of Maxout Networks Hanna Tseran Guido Montúfar 19 11 0 01 Jul 2021
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
On the approximation capability of GNNs in node classification/regression tasks Giuseppe Alessio D’Inverno Monica Bianchini M. Sampoli F. Scarselli 29 12 0 16 Jun 2021
Gaussian Processes on Hypergraphs Thomas Pinder K. Turnbull Christopher Nemeth David Leslie 25 4 0 03 Jun 2021
What are higher-order networks? C. Bick Elizabeth Gross Heather A. Harrington Michael T. Schaub 106 274 0 20 Apr 2021
Sharp bounds for the number of regions of maxout networks and vertices of Minkowski sums Guido Montúfar Yue Ren Leon Zhang 11 39 0 16 Apr 2021
Do We Need Anisotropic Graph Neural Networks? Shyam A. Tailor Felix L. Opolka Pietro Lio' Nicholas D. Lane 43 34 0 03 Apr 2021
Simplicial Complex Representation Learning Mustafa Hajij Ghada Zamzmi Theodore Papamarkou Vasileios Maroulas X. Cai 27 18 0 06 Mar 2021