Probability Passing for Graph Neural Networks: Graph Structure and Representations Joint Learning

15 July 2024

Papers citing "Probability Passing for Graph Neural Networks: Graph Structure and Representations Joint Learning"

10 / 10 papers shown

Title
Multimodal learning with graphs Yasha Ektefaie George Dasoulas Ayush Noori Maha Farhat Marinka Zitnik 58 89 0 07 Sep 2022
Understanding over-squashing and bottlenecks on graphs via curvature Jake Topping Francesco Di Giovanni B. Chamberlain Xiaowen Dong M. Bronstein 99 440 0 29 Nov 2021
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks Bahare Fatemi Layla El Asri Seyed Mehran Kazemi GNN SSL 78 165 0 09 Feb 2021
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Tengjiao Wang GNN 119 1,202 0 04 Nov 2020
Differentiable Graph Module (DGM) for Graph Convolutional Networks Anees Kazi Luca Cosmo Seyed-Ahmad Ahmadi Nassir Navab M. Bronstein GNN MedIm 53 130 0 11 Feb 2020
Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion Sijie Mai Haifeng Hu Songlong Xing GAN 71 185 0 18 Nov 2019
Adaptive Graph Convolutional Neural Networks Ruoyu Li Sheng Wang Feiyun Zhu Junzhou Huang GNN 108 750 0 10 Jan 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 384 19,991 0 30 Oct 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 536 28,901 0 09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 289 7,622 0 30 Jun 2016