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Relational Pooling for Graph Representations
v1v2 (latest)

Relational Pooling for Graph Representations

6 March 2019
R. Murphy
Balasubramaniam Srinivasan
Vinayak A. Rao
Bruno Ribeiro
    GNN
ArXiv (abs)PDFHTML

Papers citing "Relational Pooling for Graph Representations"

17 / 167 papers shown
Title
Principal Neighbourhood Aggregation for Graph Nets
Principal Neighbourhood Aggregation for Graph Nets
Gabriele Corso
Luca Cavalleri
Dominique Beaini
Pietro Lio
Petar Velickovic
GNN
156
678
0
12 Apr 2020
Improving Expressivity of Graph Neural Networks
Improving Expressivity of Graph Neural Networks
Stanislaw J. Purgal
17
4
0
08 Apr 2020
A Collective Learning Framework to Boost GNN Expressiveness
A Collective Learning Framework to Boost GNN Expressiveness
Mengyue Hang
Jennifer Neville
Bruno Ribeiro
AI4CE
116
4
0
26 Mar 2020
A Survey on The Expressive Power of Graph Neural Networks
A Survey on The Expressive Power of Graph Neural Networks
Ryoma Sato
391
173
0
09 Mar 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
609
956
0
02 Mar 2020
Can Graph Neural Networks Count Substructures?
Can Graph Neural Networks Count Substructures?
Zhengdao Chen
Lei Chen
Soledad Villar
Joan Bruna
GNN
144
330
0
10 Feb 2020
Random Features Strengthen Graph Neural Networks
Random Features Strengthen Graph Neural Networks
Ryoma Sato
M. Yamada
H. Kashima
GNNAAML
81
240
0
08 Feb 2020
Supervised Learning on Relational Databases with Graph Neural Networks
Supervised Learning on Relational Databases with Graph Neural Networks
Milan Cvitkovic
70
44
0
06 Feb 2020
Molecule Property Prediction and Classification with Graph Hypernetworks
Molecule Property Prediction and Classification with Graph Hypernetworks
Eliya Nachmani
Lior Wolf
GNN
52
15
0
01 Feb 2020
Deep Graph Matching Consensus
Deep Graph Matching Consensus
Matthias Fey
J. E. Lenssen
Christopher Morris
Jonathan Masci
Nils M. Kriege
78
212
0
27 Jan 2020
Coloring graph neural networks for node disambiguation
Coloring graph neural networks for node disambiguation
George Dasoulas
Ludovic Dos Santos
Kevin Scaman
Aladin Virmaux
89
82
0
12 Dec 2019
Efficient Graph Generation with Graph Recurrent Attention Networks
Efficient Graph Generation with Graph Recurrent Attention Networks
Renjie Liao
Yujia Li
Yang Song
Shenlong Wang
C. Nash
William L. Hamilton
David Duvenaud
R. Urtasun
R. Zemel
GNN
158
340
0
02 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural
  Graph Representations
On the Equivalence between Positional Node Embeddings and Structural Graph Representations
Balasubramaniam Srinivasan
Bruno Ribeiro
85
27
0
01 Oct 2019
Understanding the Representation Power of Graph Neural Networks in
  Learning Graph Topology
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology
Nima Dehmamy
Albert-László Barabási
Rose Yu
GNN
97
135
0
11 Jul 2019
On the equivalence between graph isomorphism testing and function
  approximation with GNNs
On the equivalence between graph isomorphism testing and function approximation with GNNs
Zhengdao Chen
Soledad Villar
Lei Chen
Joan Bruna
116
283
0
29 May 2019
Provably Powerful Graph Networks
Provably Powerful Graph Networks
Haggai Maron
Heli Ben-Hamu
Hadar Serviansky
Y. Lipman
145
583
0
27 May 2019
Graph Kernels: A Survey
Graph Kernels: A Survey
Giannis Nikolentzos
Giannis Siglidis
Michalis Vazirgiannis
145
125
0
27 Apr 2019
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