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From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module

25 May 2023

Papers citing "From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module"

46 / 46 papers shown

Title
E(n) Equivariant Topological Neural Networks Claudio Battiloro Ege Karaismailoglu Mauricio Tec George Dasoulas Michelle Audirac Francesca Dominici 103 9 0 24 May 2024
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries Haitz Sáez de Ocáriz Borde Anastasis Kratsios 166 5 0 23 Oct 2023
Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks Mathilde Papillon Sophia Sanborn Mustafa Hajij Nina Miolane 3DV AI4CE 73 36 0 20 Apr 2023
Tangent Bundle Convolutional Learning: from Manifolds to Cellular Sheaves and Back Claudio Battiloro Zhiyang Wang Hans Riess Paolo Di Lorenzo Alejandro Ribeiro 48 11 0 20 Mar 2023
Convolutional Learning on Simplicial Complexes Maosheng Yang Elvin Isufi 54 21 0 26 Jan 2023
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information Qingyun Sun Jianxin Li Beining Yang Xingcheng Fu Hao Peng Philip S. Yu 58 11 0 30 Dec 2022
Latent Graph Inference using Product Manifolds Haitz Sáez de Ocáriz Borde Anees Kazi Federico Barbero Pietro Lio BDL 73 19 0 26 Nov 2022
Tangent Bundle Filters and Neural Networks: from Manifolds to Cellular Sheaves and Back Claudio Battiloro Zhiyang Wang Hans Riess P. Lorenzo Alejandro Ribeiro 71 13 0 26 Oct 2022
L2XGNN: Learning to Explain Graph Neural Networks G. Serra Mathias Niepert 59 7 0 28 Sep 2022
Cell Attention Networks Lorenzo Giusti Claudio Battiloro Lucia Testa P. Lorenzo S. Sardellitti Sergio Barbarossa 3DPC GNN 373 35 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 61 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 62 65 0 01 Jun 2022
Simplicial Attention Networks Christopher Wei Jin Goh Cristian Bodnar Pietro Lio GNN 80 40 0 20 Apr 2022
Simplicial Attention Neural Networks L. Giusti Claudio Battiloro P. Lorenzo S. Sardellitti Sergio Barbarossa 103 33 0 14 Mar 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 85 180 0 09 Feb 2022
Understanding over-squashing and bottlenecks on graphs via curvature Jake Topping Francesco Di Giovanni B. Chamberlain Xiaowen Dong M. Bronstein 108 444 0 29 Nov 2021
Signal Processing on Cell Complexes T. Roddenberry Michael T. Schaub Mustafa Hajij 51 43 0 11 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 70 236 0 23 Jun 2021
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions Mathias Niepert Pasquale Minervini Luca Franceschi 62 85 0 03 Jun 2021
Neural Algorithmic Reasoning Petar Velickovic Charles Blundell NAI OOD 41 101 0 06 May 2021
FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning Indro Spinelli Simone Scardapane Amir Hussain A. Uncini FaML 57 84 0 29 Apr 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 355 1,153 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 95 256 0 04 Mar 2021
Principled Simplicial Neural Networks for Trajectory Prediction T. Roddenberry Nicholas Glaze Santiago Segarra 3DPC 66 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 151 149 0 14 Jan 2021
Sheaf Neural Networks J. Hansen Thomas Gebhart GNN 43 40 0 08 Dec 2020
Simplicial Neural Networks Stefania Ebli M. Defferrard Gard Spreemann GNN 49 129 0 07 Oct 2020
Cell Complex Neural Networks Mustafa Hajij Kyle Istvan Ghada Zamzmi 83 61 0 02 Oct 2020
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings Yu Chen Lingfei Wu Mohammed J Zaki 94 416 0 21 Jun 2020
Graph Structure Learning for Robust Graph Neural Networks Wei Jin Yao Ma Xiaorui Liu Xianfeng Tang Suhang Wang Jiliang Tang OOD AAML 84 703 0 20 May 2020
Differentiable Graph Module (DGM) for Graph Convolutional Networks Anees Kazi Luca Cosmo Seyed-Ahmad Ahmadi Nassir Navab M. Bronstein GNN MedIm 65 130 0 11 Feb 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 266 861 0 28 Sep 2019
Adaptively Sparse Transformers Gonçalo M. Correia Vlad Niculae André F. T. Martins 84 256 0 30 Aug 2019
Sparse Sequence-to-Sequence Models Ben Peters Vlad Niculae André F. T. Martins TPM 177 213 0 14 May 2019
Learning Discrete Structures for Graph Neural Networks Luca Franceschi Mathias Niepert Massimiliano Pontil X. He GNN 72 411 0 28 Mar 2019
Pitfalls of Graph Neural Network Evaluation Oleksandr Shchur Maximilian Mumme Aleksandar Bojchevski Stephan Günnemann GNN 168 1,360 0 14 Nov 2018
Implicit Maximum Likelihood Estimation Ke Li Jitendra Malik 39 97 0 24 Sep 2018
Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms Mathieu Blondel André F. T. Martins Vlad Niculae FedML 39 39 0 24 May 2018
Link Prediction Based on Graph Neural Networks Muhan Zhang Yixin Chen GNN 98 1,937 0 27 Feb 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 257 6,149 0 24 Jan 2018
VAIN: Attentional Multi-agent Predictive Modeling Yedid Hoshen GNN 100 238 0 19 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 701 131,652 0 12 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 593 7,455 0 04 Apr 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 644 29,076 0 09 Sep 2016
Revisiting Semi-Supervised Learning with Graph Embeddings Zhilin Yang William W. Cohen Ruslan Salakhutdinov GNN SSL 169 2,095 0 29 Mar 2016
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 220 4,882 0 21 Dec 2013