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
Quotient Complex Transformer (QCformer) for Perovskite Data Analysis Xinyu You Xiang Liu Chuan-Shen Hu Kelin Xia Tze Chien Sum 21 0 0 14 May 2025
Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Seongjin Choi Gahee Kim Yong-Geun Oh 26 0 0 09 May 2025
Simplifying Graph Transformers Liheng Ma Soumyasundar Pal Yingxue Zhang Philip H. S. Torr Mark J. Coates 26 0 0 17 Apr 2025
COSMOS: Continuous Simplicial Neural Networks Aref Einizade Dorina Thanou Fragkiskos D. Malliaros Jhony H. Giraldo AI4CE 56 0 0 17 Mar 2025
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings Asiri Wijesinghe Hao Zhu Piotr Koniusz 48 0 0 22 Feb 2025
Topological Neural Networks over the Air Simone Fiorellino Claudio Battiloro P. Di Lorenzo 78 3 0 17 Feb 2025
Enhancing Graph Representation Learning with Localized Topological Features Zuoyu Yan Qi Zhao Ze Ye Tengfei Ma Liangcai Gao Zhi Tang Yusu Wang Chao Chen 47 0 0 17 Jan 2025
Higher-Order Topological Directionality and Directed Simplicial Neural Networks M. Lecha Andrea Cavallo Francesca Dominici Elvin Isufi Claudio Battiloro AI4CE 151 2 0 17 Jan 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 1 0 06 Jan 2025
Dirac-Equation Signal Processing: Physics Boosts Topological Machine Learning Runyue Wang Yu Tian Pietro Liò Ginestra Bianconi 72 2 0 06 Dec 2024
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance Dominik Fuchsgruber Tim Poštuvan Stephan Günnemann Simon Geisler 42 2 0 22 Oct 2024
Conditional Uncertainty Quantification for Tensorized Topological Neural Networks Yujia Wu Bo Yang Yang Zhao Elynn Chen Yuzhou Chen Zheshi Zheng 35 2 0 20 Oct 2024
Bayesian Sheaf Neural Networks Patrick Gillespie Vasileios Maroulas Ioannis Schizas 21 1 0 12 Oct 2024
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks Mathilde Papillon Guillermo Bernardez Claudio Battiloro Nina Miolane BDL 54 1 0 09 Oct 2024
Molecular topological deep learning for polymer property prediction Cong Shen Yipeng Zhang Fei Han Kelin Xia AI4CE 33 0 0 07 Oct 2024
Diss-l-ECT: Dissecting Graph Data with local Euler Characteristic Transforms Julius von Rohrscheidt Bastian Alexander Rieck 19 0 0 03 Oct 2024
MANTRA: The Manifold Triangulations Assemblage Rubén Ballester Ernst Röell Daniel Bin Schmid Mathieu Alain Sergio Escalera Carles Casacuberta Bastian Rieck 44 3 0 03 Oct 2024
Range-aware Positional Encoding via High-order Pretraining: Theory and Practice Viet Anh Nguyen Nhat-Khang Ngô Truong Son-Hy AI4CE 27 0 0 27 Sep 2024
Higher-Order Message Passing for Glycan Representation Learning Roman Joeres Daniel Bojar 16 1 0 20 Sep 2024
CW-CNN & CW-AN: Convolutional Networks and Attention Networks for CW-Complexes Rahul Khorana 34 0 0 29 Aug 2024
Dirac--Bianconi Graph Neural Networks -- Enabling Non-Diffusive Long-Range Graph Predictions Christian Nauck R. Gorantla M. Lindner Konstantin Schurholt Antonia S. J. S. Mey Frank Hellmann AI4CE 50 2 0 17 Jul 2024
Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures Sophia Sanborn Johan Mathe Mathilde Papillon Domas Buracas Hansen Lillemark Christian Shewmake Abby Bertics Xavier Pennec Nina Miolane 58 4 0 12 Jul 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 55 2 0 03 Jul 2024
Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs J. V. Pichowski Vincenzo Perri Lisi Qarkaxhija Ingo Scholtes 45 0 0 24 Jun 2024
Demystifying Higher-Order Graph Neural Networks Maciej Besta Florian Scheidl Lukas Gianinazzi S. Klaiman Jürgen Müller Torsten Hoefler 48 2 0 18 Jun 2024
Topological Neural Networks go Persistent, Equivariant, and Continuous Yogesh Verma Amauri H Souza Vikas K. Garg AI4CE 43 4 0 05 Jun 2024
E(n) Equivariant Message Passing Cellular Networks Veljko Kovač Erik J. Bekkers Pietro Lio' Floor Eijkelboom 39 1 0 05 Jun 2024
Occlusion Handling in 3D Human Pose Estimation with Perturbed Positional Encoding Niloofar Azizi Mohsen Fayyaz Horst Bischof 39 0 0 27 May 2024
Probabilistic Graph Rewiring via Virtual Nodes Chendi Qian Andrei Manolache Christopher Morris Mathias Niepert AI4CE 38 3 0 27 May 2024
E(n) Equivariant Topological Neural Networks Claudio Battiloro Ege Karaismailoglu Mauricio Tec George Dasoulas Michelle Audirac Francesca Dominici 52 5 0 24 May 2024
Binarized Simplicial Convolutional Neural Networks Yi Yan E. Kuruoglu 41 2 0 07 May 2024
CKGConv: General Graph Convolution with Continuous Kernels Liheng Ma Soumyasundar Pal Yitian Zhang Jiaming Zhou Yingxue Zhang Mark J. Coates 37 3 0 21 Apr 2024
GRANOLA: Adaptive Normalization for Graph Neural Networks Moshe Eliasof Beatrice Bevilacqua Carola-Bibiane Schönlieb Haggai Maron 33 5 0 20 Apr 2024
Spectral Graph Pruning Against Over-Squashing and Over-Smoothing Adarsh Jamadandi Celia Rubio-Madrigal R. Burkholz 40 1 0 06 Apr 2024
Advancing Graph Neural Networks with HL-HGAT: A Hodge-Laplacian and Attention Mechanism Approach for Heterogeneous Graph-Structured Data Jinghan Huang Qiufeng Chen Yijun Bian Pengli Zhu Nanguang Chen Moo K. Chung Anqi Qiu 40 0 0 11 Mar 2024
Local Vertex Colouring Graph Neural Networks Shouheng Li Dongwoo Kim Qing Wang 63 1 0 10 Mar 2024
Clifford Group Equivariant Simplicial Message Passing Networks Cong Liu David Ruhe Floor Eijkelboom Patrick Forré 27 13 0 15 Feb 2024
Graph Transformers without Positional Encodings Ayush Garg 21 0 0 31 Jan 2024
VC dimension of Graph Neural Networks with Pfaffian activation functions Giuseppe Alessio D’Inverno Monica Bianchini F. Scarselli GNN 26 1 0 22 Jan 2024
Tensor-view Topological Graph Neural Network Tao Wen Elynn Chen Yuzhou Chen 36 9 0 22 Jan 2024
Hypergraph-MLP: Learning on Hypergraphs without Message Passing Bohan Tang Siheng Chen Xiaowen Dong 26 5 0 15 Dec 2023
Simplicial Representation Learning with Neural $k$ -Forms Kelly Maggs Celia Hacker Bastian Alexander Rieck AI4CE 30 10 0 13 Dec 2023
Cycle Invariant Positional Encoding for Graph Representation Learning Zuoyu Yan Teng Ma Liangcai Gao Zhi Tang Chao Chen Yusu Wang 39 5 0 24 Nov 2023
Higher-Order Expander Graph Propagation Thomas Christie Yu He 24 3 0 14 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 36 15 0 30 Oct 2023
Can strong structural encoding reduce the importance of Message Passing? Floor Eijkelboom Erik J. Bekkers Michael M. Bronstein Francesco Di Giovanni University of Amsterdam 24 2 0 22 Oct 2023
Differentiable Euler Characteristic Transforms for Shape Classification Ernst Röell Bastian Alexander Rieck 28 6 0 11 Oct 2023
Probabilistically Rewired Message-Passing Neural Networks Chendi Qian Andrei Manolache Kareem Ahmed Zhe Zeng Guy Van den Broeck 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