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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

International Conference on Artificial Neural Networks (ICANN), 2020
2 March 2020
Changmin Wu
Giannis Nikolentzos
Michalis Vazirgiannis
    GNN
ArXiv (abs)PDFHTML

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

24 / 24 papers shown
Group-Node Attention for Community Evolution Prediction
Group-Node Attention for Community Evolution PredictionInternational Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2021
Matt Revelle
C. Domeniconi
Ben U. Gelman
231
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
400
315
0
13 May 2020
Gated Graph Recurrent Neural Networks
Gated Graph Recurrent Neural NetworksIEEE Transactions on Signal Processing (TSP), 2020
Luana Ruiz
Fernando Gama
Alejandro Ribeiro
GNN
510
184
0
03 Feb 2020
Graph Kernels: A Survey
Graph Kernels: A SurveyJournal of Artificial Intelligence Research (JAIR), 2019
Giannis Nikolentzos
Giannis Siglidis
Michalis Vazirgiannis
413
144
0
27 Apr 2019
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic GraphsAAAI Conference on Artificial Intelligence (AAAI), 2019
A. Pareja
Giacomo Domeniconi
Jie Chen
Tengfei Ma
Toyotaro Suzumura
Toyotaro Suzumura
Tim Kaler
Tao B. Schardl
Charles E. Leisersen
GNN
539
1,399
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
FaMLGNNAI4TSAI4CE
1.9K
10,829
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
AI4CEGNN
2.4K
6,769
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
917
1,943
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
1.2K
9,531
0
01 Oct 2018
Graphite: Iterative Generative Modeling of Graphs
Graphite: Iterative Generative Modeling of Graphs
Aditya Grover
Aaron Zweig
Stefano Ermon
BDL
446
324
0
28 Mar 2018
NetGAN: Generating Graphs via Random Walks
NetGAN: Generating Graphs via Random WalksInternational Conference on Machine Learning (ICML), 2018
Aleksandar Bojchevski
Oleksandr Shchur
Daniel Zügner
Stephan Günnemann
GANGNN
496
399
0
02 Mar 2018
Link Prediction Based on Graph Neural Networks
Link Prediction Based on Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2018
Muhan Zhang
Yixin Chen
GNN
1.2K
2,292
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
GNNBDL
465
975
0
24 Feb 2018
Attributed Network Embedding for Learning in a Dynamic Environment
Attributed Network Embedding for Learning in a Dynamic EnvironmentInternational Conference on Information and Knowledge Management (CIKM), 2017
Jundong Li
Harsh Dani
Helen Zhou
Shucheng Zhou
Yi-Ju Chang
Huan Liu
198
390
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
533
87
0
23 May 2017
Dynamic Graph Convolutional Networks
Dynamic Graph Convolutional Networks
Franco Manessi
A. Rozza
M. Manzo
GNN
300
451
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
1.6K
8,789
0
04 Apr 2017
Motifs in Temporal Networks
Motifs in Temporal NetworksWeb Search and Data Mining (WSDM), 2016
Ashwin Paranjape
Austin R. Benson
J. Leskovec
184
770
0
29 Dec 2016
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Structured Sequence Modeling with Graph Convolutional Recurrent NetworksInternational Conference on Neural Information Processing (ICONIP), 2016
Youngjoo Seo
M. Defferrard
P. Vandergheynst
Xavier Bresson
GNN
350
938
0
22 Dec 2016
DeepGraph: Graph Structure Predicts Network Growth
DeepGraph: Graph Structure Predicts Network Growth
Cheng Li
Xiaoxiao Guo
Qiaozhu Mei
GNN
190
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
743
1,021
0
19 Nov 2015
Gated Graph Sequence Neural Networks
Gated Graph Sequence Neural Networks
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
GNN
1.4K
3,567
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
406
1,113
0
29 Dec 2008
Mixed membership stochastic blockmodels
Mixed membership stochastic blockmodelsNeural Information Processing Systems (NeurIPS), 2007
E. Airoldi
David M. Blei
S. Fienberg
Eric Xing
1.2K
2,199
0
30 May 2007
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