Simplicial Neural Networks

7 October 2020

Papers citing "Simplicial Neural Networks"

31 / 31 papers shown

Title
Quotient Complex Transformer (QCformer) for Perovskite Data Analysis Xinyu You Xiang Liu Chuan-Shen Hu Kelin Xia Tze Chien Sum 29 0 0 14 May 2025
Topological Neural Networks over the Air Simone Fiorellino Claudio Battiloro P. Di Lorenzo 91 3 0 17 Feb 2025
Higher-Order Topological Directionality and Directed Simplicial Neural Networks M. Lecha Andrea Cavallo Francesca Dominici Elvin Isufi Claudio Battiloro AI4CE 159 3 0 17 Jan 2025
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance Dominik Fuchsgruber Tim Poštuvan Stephan Günnemann Simon Geisler 47 2 0 22 Oct 2024
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks Mathilde Papillon Guillermo Bernardez Claudio Battiloro Nina Miolane BDL 59 2 0 09 Oct 2024
E(n) Equivariant Topological Neural Networks Claudio Battiloro Ege Karaismailoglu Mauricio Tec George Dasoulas Michelle Audirac Francesca Dominici 63 6 0 24 May 2024
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers Cai Zhou Rose Yu Yusu Wang 48 7 0 04 Apr 2024
Multiscale Hodge Scattering Networks for Data Analysis Naoki Saito Stefan C. Schonsheck Eugene Shvarts 45 1 0 17 Nov 2023
Differentiable Euler Characteristic Transforms for Shape Classification Ernst Röell Bastian Alexander Rieck 36 6 0 11 Oct 2023
Hodge-Aware Contrastive Learning Alexander Mollers Alexander Immer Vincent Fortuin Elvin Isufi 43 1 0 14 Sep 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 31 14 0 25 May 2023
Topological Point Cloud Clustering Vincent P. Grande Michael T. Schaub 3DPC 26 7 0 29 Mar 2023
Dirac signal processing of higher-order topological signals Lucille Calmon Michael T. Schaub G. Bianconi 32 27 0 12 Jan 2023
A Topological Deep Learning Framework for Neural Spike Decoding Edward C. Mitchell Brittany Story D. Boothe P. Franaszczuk Vasileios Maroulas 34 8 0 01 Dec 2022
Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets Yuzhou Chen Tian Jiang M. Heleno Alexandre Moreira Yulia R. Gel GNN AI4CE 31 3 0 14 Nov 2022
Semantic-Native Communication: A Simplicial Complex Perspective Qiyang Zhao M. Bennis Merouane Debbah Daniella Harth da Costa 42 5 0 30 Oct 2022
Pooling Strategies for Simplicial Convolutional Networks Domenico Mattia Cinque Claudio Battiloro P. Lorenzo 48 5 0 11 Oct 2022
SGAT: Simplicial Graph Attention Network See Hian Lee Feng Ji Wee Peng Tay 69 24 0 24 Jul 2022
Generalized Spectral Coarsening A. Keros Kartic Subr 21 0 0 04 Jul 2022
Simplicial Attention Neural Networks L. Giusti Claudio Battiloro P. Lorenzo S. Sardellitti Sergio Barbarossa 53 32 0 14 Mar 2022
Simplicial Convolutional Filters Maosheng Yang Elvin Isufi Michael T. Schaub G. Leus 38 33 0 27 Jan 2022
BScNets: Block Simplicial Complex Neural Networks Yuzhou Chen Yulia R. Gel H. Vincent Poor GNN 33 34 0 13 Dec 2021
Dist2Cycle: A Simplicial Neural Network for Homology Localization A. Keros Vidit Nanda Kartic Subr 19 28 0 28 Oct 2021
Signal Processing on Cell Complexes T. Roddenberry Michael T. Schaub Mustafa Hajij 16 40 0 11 Oct 2021
Simplicial Convolutional Neural Networks Maosheng Yang Elvin Isufi G. Leus GNN 70 57 0 06 Oct 2021
What are higher-order networks? C. Bick Elizabeth Gross Heather A. Harrington Michael T. Schaub 108 277 0 20 Apr 2021
Simplicial Complex Representation Learning Mustafa Hajij Ghada Zamzmi Theodore Papamarkou Vasileios Maroulas X. Cai 35 18 0 06 Mar 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 48 249 0 04 Mar 2021
Principled Simplicial Neural Networks for Trajectory Prediction T. Roddenberry Nicholas Glaze Santiago Segarra 3DPC 26 91 0 19 Feb 2021
Cell Complex Neural Networks Mustafa Hajij Kyle Istvan Ghada Zamzmi 28 55 0 02 Oct 2020
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 264 3,246 0 24 Nov 2016