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EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs

EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs

2 March 2020
Changmin Wu
Giannis Nikolentzos
Michalis Vazirgiannis
    GNN
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Papers citing "EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs"

24 / 24 papers shown
Title
Group-Node Attention for Community Evolution Prediction
Group-Node Attention for Community Evolution Prediction
Matt Revelle
C. Domeniconi
Ben U. Gelman
77
3
0
09 Jul 2021
Foundations and modelling of dynamic networks using Dynamic Graph Neural
  Networks: A survey
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey
Joakim Skarding
Bogdan Gabrys
Katarzyna Musial
AI4CE
72
231
0
13 May 2020
Gated Graph Recurrent Neural Networks
Gated Graph Recurrent Neural Networks
Luana Ruiz
Fernando Gama
Alejandro Ribeiro
GNN
85
141
0
03 Feb 2020
Graph Kernels: A Survey
Graph Kernels: A Survey
Giannis Nikolentzos
Giannis Siglidis
Michalis Vazirgiannis
115
123
0
27 Apr 2019
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
A. Pareja
Giacomo Domeniconi
Jie Chen
Tengfei Ma
Toyotaro Suzumura
H. Kanezashi
Tim Kaler
Tao B. Schardl
Charles E. Leisersen
GNN
116
1,065
0
26 Feb 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
722
8,517
0
03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
1.1K
5,511
0
20 Dec 2018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Christopher Morris
Martin Ritzert
Matthias Fey
William L. Hamilton
J. E. Lenssen
Gaurav Rattan
Martin Grohe
GNN
187
1,634
0
04 Oct 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
230
7,638
0
01 Oct 2018
Graphite: Iterative Generative Modeling of Graphs
Graphite: Iterative Generative Modeling of Graphs
Aditya Grover
Aaron Zweig
Stefano Ermon
BDL
95
302
0
28 Mar 2018
NetGAN: Generating Graphs via Random Walks
NetGAN: Generating Graphs via Random Walks
Aleksandar Bojchevski
Oleksandr Shchur
Daniel Zügner
Stephan Günnemann
GAN
GNN
161
361
0
02 Mar 2018
Link Prediction Based on Graph Neural Networks
Link Prediction Based on Graph Neural Networks
Muhan Zhang
Yixin Chen
GNN
79
1,929
0
27 Feb 2018
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
Jiaxuan You
Rex Ying
Xiang Ren
William L. Hamilton
J. Leskovec
GNN
BDL
108
848
0
24 Feb 2018
Attributed Network Embedding for Learning in a Dynamic Environment
Attributed Network Embedding for Learning in a Dynamic Environment
Jundong Li
Harsh Dani
Xia Hu
Jiliang Tang
Yi-Ju Chang
Huan Liu
73
368
0
06 Jun 2017
Supervised Community Detection with Line Graph Neural Networks
Supervised Community Detection with Line Graph Neural Networks
Zhengdao Chen
Xiang Li
Joan Bruna
58
78
0
23 May 2017
Dynamic Graph Convolutional Networks
Dynamic Graph Convolutional Networks
Franco Manessi
A. Rozza
M. Manzo
GNN
79
374
0
20 Apr 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
566
7,441
0
04 Apr 2017
Motifs in Temporal Networks
Motifs in Temporal Networks
Ashwin Paranjape
Austin R. Benson
J. Leskovec
54
689
0
29 Dec 2016
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Youngjoo Seo
M. Defferrard
P. Vandergheynst
Xavier Bresson
GNN
141
769
0
22 Dec 2016
DeepGraph: Graph Structure Predicts Network Growth
DeepGraph: Graph Structure Predicts Network Growth
Cheng Li
Xiaoxiao Guo
Qiaozhu Mei
GNN
57
17
0
20 Oct 2016
Order Matters: Sequence to sequence for sets
Order Matters: Sequence to sequence for sets
Oriol Vinyals
Samy Bengio
M. Kudlur
BDL
187
950
0
19 Nov 2015
Gated Graph Sequence Neural Networks
Gated Graph Sequence Neural Networks
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
GNN
327
3,282
0
17 Nov 2015
Kronecker Graphs: An Approach to Modeling Networks
Kronecker Graphs: An Approach to Modeling Networks
J. Leskovec
Deepayan Chakrabarti
Jon M. Kleinberg
Christos Faloutsos
Zoubin Ghahramani
94
1,073
0
29 Dec 2008
Mixed membership stochastic blockmodels
Mixed membership stochastic blockmodels
E. Airoldi
David M. Blei
S. Fienberg
Eric Xing
499
2,122
0
30 May 2007
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