A Practical Tutorial on Graph Neural Networks

11 October 2020

Papers citing "A Practical Tutorial on Graph Neural Networks"

6 / 6 papers shown

Title
RiskNet: Neural Risk Assessment in Networks of Unreliable Resources Krzysztof Rusek Piotr Boryło P. Jaglarz Fabien Geyer A. Cabellos P. Chołda 31 2 0 28 Jan 2022
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 368 5,811 0 29 Apr 2021
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 167 595 0 31 Dec 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 917 0 02 Mar 2020
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... Jun Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 206 747 0 03 Sep 2019
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 261 3,240 0 24 Nov 2016