Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding

23 May 2025

Papers citing "Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding"

50 / 64 papers shown

Title
Ordered Topological Deep Learning: a Network Modeling Case Study Guillermo Bernardez Miquel Ferriol Galmés Carlos Güemes-Palau Mathilde Papillon Pere Barlet-Ros A. Cabellos-Aparicio Nina Miolane 91 4 0 20 Mar 2025
Continuous Simplicial Neural Networks Aref Einizade Dorina Thanou Fragkiskos D. Malliaros Jhony H. Giraldo AI4CE 84 1 0 17 Mar 2025
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks Maya Bechler-Speicher Ben Finkelshtein Fabrizio Frasca Luis Muller Jan Tönshoff ... Michael M. Bronstein Mathias Niepert Bryan Perozzi Mikhail Galkin Christopher Morris OOD 160 3 0 21 Feb 2025
Higher-Order Topological Directionality and Directed Simplicial Neural Networks Manuel Lecha Andrea Cavallo Francesca Dominici Elvin Isufi Claudio Battiloro AI4CE 183 4 0 17 Jan 2025
Quantum Simplicial Neural Networks Simone Piperno Claudio Battiloro Andrea Ceschini Francesca Dominici Paolo Di Lorenzo Massimo Panella AI4CE GNN 40 1 0 09 Jan 2025
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance Dominik Fuchsgruber Tim Poštuvan Stephan Günnemann Simon Geisler 56 3 0 22 Oct 2024
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks Mathilde Papillon Guillermo Bernardez Claudio Battiloro Nina Miolane BDL 83 6 0 09 Oct 2024
MANTRA: The Manifold Triangulations Assemblage Rubén Ballester Ernst Röell Daniel Bin Schmid Mathieu Alain Sergio Escalera Carles Casacuberta Bastian Rieck 91 6 0 03 Oct 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 68 8 0 12 Jul 2024
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification Yuankai Luo Lei Shi Xiao-Ming Wu 62 25 0 13 Jun 2024
E(n) Equivariant Topological Neural Networks Claudio Battiloro Ege Karaismailoglu Mauricio Tec George Dasoulas Michelle Audirac Francesca Dominici 80 9 0 24 May 2024
Binarized Simplicial Convolutional Neural Networks Yi Yan E. Kuruoglu 73 3 0 07 May 2024
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time Chenhui Deng Zichao Yue Zhiru Zhang 125 27 0 02 Mar 2024
Position: Topological Deep Learning is the New Frontier for Relational Learning Theodore Papamarkou Tolga Birdal Michael M. Bronstein Gunnar Carlsson Justin Curry ... Petar Velickovic Bei Wang Yusu Wang Guo-Wei Wei Ghada Zamzmi AI4CE 69 29 0 14 Feb 2024
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains Mustafa Hajij Mathilde Papillon Florian Frantzen Jens Agerberg Ibrahem AlJabea ... Maosheng Yang Olga Zaghen Ghada Zamzmi Ali Zia Nina Miolane 62 13 0 04 Feb 2024
Simplicial Representation Learning with Neural $k$ -Forms Kelly Maggs Celia Hacker Bastian Rieck AI4CE 53 12 0 13 Dec 2023
Gaussian Processes on Cellular Complexes Mathieu Alain So Takao Brooks Paige M. Deisenroth 49 13 0 02 Nov 2023
Hodge-Compositional Edge Gaussian Processes Maosheng Yang Viacheslav Borovitskiy Elvin Isufi 41 10 0 30 Oct 2023
HoloNets: Spectral Convolutions do extend to Directed Graphs Christian Koke Daniel Cremers 58 11 0 03 Oct 2023
Generalized Simplicial Attention Neural Networks Claudio Battiloro Lucia Testa Lorenzo Giusti S. Sardellitti P. Lorenzo Sergio Barbarossa 48 22 0 05 Sep 2023
Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes Quang Truong Peter Chin GNN 45 9 0 13 Aug 2023
CIN++: Enhancing Topological Message Passing Lorenzo Giusti Teodora Reu Francesco Ceccarelli Cristian Bodnar Pietro Lio GNN 75 8 0 06 Jun 2023
From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module Claudio Battiloro Indro Spinelli Lev Telyatnikov Michael M. Bronstein Simone Scardapane P. Lorenzo BDL 44 16 0 25 May 2023
Edge Directionality Improves Learning on Heterophilic Graphs Emanuele Rossi Bertrand Charpentier Francesco Di Giovanni Fabrizio Frasca Stephan Günnemann Michael M. Bronstein 48 59 0 17 May 2023
E(n) Equivariant Message Passing Simplicial Networks Floor Eijkelboom Rob D. Hesselink Erik J. Bekkers 34 15 0 11 May 2023
Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks Mathilde Papillon Sophia Sanborn Mustafa Hajij Nina Miolane 3DV AI4CE 45 36 0 20 Apr 2023
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling Haotao Wang Ziyu Jiang Yuning You Yan Han Gaowen Liu Jayanth Srinivasa Ramana Rao Kompella Zhangyang Wang 59 32 0 06 Apr 2023
Tangent Bundle Convolutional Learning: from Manifolds to Cellular Sheaves and Back Claudio Battiloro Zhiyang Wang Hans Riess Paolo Di Lorenzo Alejandro Ribeiro 35 11 0 20 Mar 2023
A critical look at the evaluation of GNNs under heterophily: Are we really making progress? Oleg Platonov Denis Kuznedelev Michael Diskin Artem Babenko Liudmila Prokhorenkova 53 206 0 22 Feb 2023
Convolutional Learning on Simplicial Complexes Maosheng Yang Elvin Isufi 40 21 0 26 Jan 2023
Cell Attention Networks Lorenzo Giusti Claudio Battiloro Lucia Testa P. Lorenzo S. Sardellitti Sergio Barbarossa 3DPC GNN 341 34 0 16 Sep 2022
Sheaf Neural Networks with Connection Laplacians Federico Barbero Cristian Bodnar Haitz Sáez de Ocáriz Borde Michael M. Bronstein Petar Velivcković Pietro Lio 54 43 0 17 Jun 2022
Topological Deep Learning: Going Beyond Graph Data Mustafa Hajij Ghada Zamzmi Theodore Papamarkou Nina Miolane Aldo Guzmán-Sáenz ... Shreyas N. Samaga Neal Livesay Robin Walters Paul Rosen Michael T. Schaub PINN GNN AI4CE 34 62 0 01 Jun 2022
SigMaNet: One Laplacian to Rule Them All Stefano Fiorini Stefano Coniglio Michele Ciavotta Enza Messina 52 22 0 26 May 2022
Simplicial Attention Networks Christopher Wei Jin Goh Cristian Bodnar Pietro Lio GNN 69 39 0 20 Apr 2022
Simplicial Attention Neural Networks L. Giusti Claudio Battiloro P. Lorenzo S. Sardellitti Sergio Barbarossa 83 33 0 14 Mar 2022
Message passing all the way up Petar Velickovic 136 66 0 22 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 62 175 0 09 Feb 2022
Signal Processing on Cell Complexes T. Roddenberry Michael T. Schaub Mustafa Hajij 34 42 0 11 Oct 2021
Equivariant Subgraph Aggregation Networks Beatrice Bevilacqua Fabrizio Frasca Derek Lim Balasubramaniam Srinivasan Chen Cai G. Balamurugan M. Bronstein Haggai Maron 88 179 0 06 Oct 2021
Weisfeiler and Lehman Go Cellular: CW Networks Cristian Bodnar Fabrizio Frasca N. Otter Yu Guang Wang Pietro Lio Guido Montúfar M. Bronstein GNN 51 232 0 23 Jun 2021
Graph Neural Networks in Network Neuroscience Alaa Bessadok Mohamed Ali Mahjoub I. Rekik GNN 49 171 0 07 Jun 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 286 1,137 0 27 Apr 2021
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks Cristian Bodnar Fabrizio Frasca Yu Guang Wang N. Otter Guido Montúfar Pietro Lio M. Bronstein 80 254 0 04 Mar 2021
MagNet: A Neural Network for Directed Graphs Xitong Zhang Yixuan He Nathan Brugnone Michael Perlmutter M. Hirn 93 128 0 22 Feb 2021
Principled Simplicial Neural Networks for Trajectory Prediction T. Roddenberry Nicholas Glaze Santiago Segarra 3DPC 57 93 0 19 Feb 2021
Signal Processing on Higher-Order Networks: Livin' on the Edge ... and Beyond Michael T. Schaub Yu Zhu Jean-Baptiste Seby T. Roddenberry Santiago Segarra 139 148 0 14 Jan 2021
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity W. Fedus Barret Zoph Noam M. Shazeer MoE 57 2,136 0 11 Jan 2021
Sheaf Neural Networks J. Hansen Thomas Gebhart GNN 24 40 0 08 Dec 2020
Simplicial Neural Networks Stefania Ebli M. Defferrard Gard Spreemann GNN 35 128 0 07 Oct 2020