A Gentle Introduction to Deep Learning for Graphs

A Gentle Introduction to Deep Learning for Graphs

29 December 2019

Federico Errica

Papers citing "A Gentle Introduction to Deep Learning for Graphs"

12 / 112 papers shown

Title
Ring Reservoir Neural Networks for Graphs Claudio Gallicchio A. Micheli GNN 11 12 0 11 May 2020
Deep Constraint-based Propagation in Graph Neural Networks Matteo Tiezzi G. Marra S. Melacci Marco Maggini AI4CE GNN 6 13 0 05 May 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 183 913 0 02 Mar 2020
Deep Randomized Neural Networks Claudio Gallicchio Simone Scardapane OOD 12 60 0 27 Feb 2020
Tensor Decompositions in Deep Learning D. Bacciu Danilo P. Mandic 14 14 0 26 Feb 2020
Adaptive Propagation Graph Convolutional Network Indro Spinelli Simone Scardapane A. Uncini GNN 6 71 0 24 Feb 2020
Graph Prolongation Convolutional Networks: Explicitly Multiscale Machine Learning on Graphs with Applications to Modeling of Cytoskeleton Cory Braker Scott E. Mjolsness 9 3 0 14 Feb 2020
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... J. Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 186 743 0 03 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 229 1,935 0 09 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 219 1,329 0 12 Feb 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,230 0 24 Nov 2016
kLog: A Language for Logical and Relational Learning with Kernels Paolo Frasconi Fabrizio Costa Luc De Raedt Kurt De Grave 32 52 0 17 May 2012