Learning Graph Structure from Convolutional Mixtures

Learning Graph Structure from Convolutional Mixtures

19 May 2022

Gonzalo Mateos

Alejandro Ribeiro

Papers citing "Learning Graph Structure from Convolutional Mixtures"

7 / 7 papers shown

Title
LASE: Learned Adjacency Spectral Embeddings Sofía Pérez Casulo Marcelo Fiori Federico Larroca Gonzalo Mateos AI4TS GNN 33 0 0 23 Dec 2024
Online Proximal ADMM for Graph Learning from Streaming Smooth Signals Hector Chahuara Gonzalo Mateos 24 0 0 19 Sep 2024
Graph Structure Learning with Interpretable Bayesian Neural Networks Max Wasserman Gonzalo Mateos CML 24 6 0 20 Jun 2024
pyGSL: A Graph Structure Learning Toolkit Max Wasserman Gonzalo Mateos 24 0 0 07 Nov 2022
Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi A. Luu T. Laurent Yoshua Bengio Xavier Bresson GNN 192 306 0 15 Oct 2021
From Local Structures to Size Generalization in Graph Neural Networks Gilad Yehudai Ethan Fetaya E. Meirom Gal Chechik Haggai Maron GNN AI4CE 154 123 0 17 Oct 2020
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 236 3,230 0 24 Nov 2016