Learning Hyperbolic Representations of Topological Features

Learning Hyperbolic Representations of Topological Features

International Conference on Learning Representations (ICLR), 2025

16 March 2021

Panagiotis Kyriakis

Iordanis Fostiropoulos

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Papers citing "Learning Hyperbolic Representations of Topological Features"

7 / 7 papers shown

Title
Directed Scattering for Knowledge Graph-based Cellular Signaling Analysis Aarthi Venkat Joyce A. Chew Ferran Cardoso Rodriguez Christopher J. Tape Michael Perlmutter Smita Krishnaswamy 68 2 0 14 Sep 2023
Graph Scattering beyond Wavelet Shackles Christian Koke Gitta Kutyniok 113 4 0 26 Jan 2023
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections Clément Bonet Laetitia Chapel Lucas Drumetz Nicolas Courty 148 17 0 18 Nov 2022
Neural Approximation of Graph Topological Features Zuoyu Yan Tengfei Ma Liangcai Gao Zhi Tang Yusu Wang Chao Chen 112 15 0 28 Jan 2022
Topological Relational Learning on Graphs Yuzhou Chen Baris Coskunuzer Yulia R. Gel 85 46 0 29 Oct 2021
Smart Vectorizations for Single and Multiparameter Persistence Baris Coskunuzer Cüneyt Gürcan Akçora I. Segovia-Dominguez Zhiwei Zhen Murat Kantarcioglu Yulia R. Gel 63 2 0 10 Apr 2021
Hyperbolic Graph Convolutional Neural Networks Ines Chami Rex Ying Christopher Ré J. Leskovec GNN 230 697 0 28 Oct 2019