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A Gentle Introduction to Deep Learning for Graphs

A Gentle Introduction to Deep Learning for Graphs

29 December 2019
D. Bacciu
Federico Errica
Alessio Micheli
Marco Podda
    AI4CE
    GNN
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Papers citing "A Gentle Introduction to Deep Learning for Graphs"

13 / 113 papers shown
Title
An Overview of Deep Semi-Supervised Learning
An Overview of Deep Semi-Supervised Learning
Yassine Ouali
C´eline Hudelot
Myriam Tami
SSL
HAI
27
294
0
09 Jun 2020
Ring Reservoir Neural Networks for Graphs
Ring Reservoir Neural Networks for Graphs
Claudio Gallicchio
Alessio Micheli
GNN
13
12
0
11 May 2020
Deep Constraint-based Propagation in Graph Neural Networks
Deep Constraint-based Propagation in Graph Neural Networks
Matteo Tiezzi
G. Marra
S. Melacci
Marco Maggini
AI4CE
GNN
19
13
0
05 May 2020
Benchmarking Graph Neural Networks
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 Randomized Neural Networks
Deep Randomized Neural Networks
Claudio Gallicchio
Simone Scardapane
OOD
45
61
0
27 Feb 2020
Tensor Decompositions in Deep Learning
Tensor Decompositions in Deep Learning
D. Bacciu
Danilo P. Mandic
30
14
0
26 Feb 2020
Adaptive Propagation Graph Convolutional Network
Adaptive Propagation Graph Convolutional Network
Indro Spinelli
Simone Scardapane
A. Uncini
GNN
16
71
0
24 Feb 2020
Graph Prolongation Convolutional Networks: Explicitly Multiscale Machine
  Learning on Graphs with Applications to Modeling of Cytoskeleton
Graph Prolongation Convolutional Networks: Explicitly Multiscale Machine Learning on Graphs with Applications to Modeling of Cytoskeleton
Cory Braker Scott
E. Mjolsness
17
3
0
14 Feb 2020
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks
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
206
747
0
03 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
279
1,944
0
09 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
224
1,340
0
12 Feb 2018
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
259
3,240
0
24 Nov 2016
kLog: A Language for Logical and Relational Learning with Kernels
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
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