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

2 March 2020

Changmin Wu

Giannis Nikolentzos

Michalis Vazirgiannis

GNN

ArXiv PDF HTML

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 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 Joakim Skarding Bogdan Gabrys Katarzyna Musial AI4CE 72 231 0 13 May 2020
Gated Graph Recurrent Neural Networks Luana Ruiz Fernando Gama Alejandro Ribeiro GNN 85 141 0 03 Feb 2020
Graph Kernels: A Survey Giannis Nikolentzos Giannis Siglidis Michalis Vazirgiannis 115 123 0 27 Apr 2019
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 111 1,064 0 26 Feb 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 535 8,496 0 03 Jan 2019
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 831 5,493 0 20 Dec 2018
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 165 1,630 0 04 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 210 7,623 0 01 Oct 2018
Graphite: Iterative Generative Modeling of Graphs Aditya Grover Aaron Zweig Stefano Ermon BDL 95 300 0 28 Mar 2018
NetGAN: Generating Graphs via Random Walks Aleksandar Bojchevski Oleksandr Shchur Daniel Zügner Stephan Günnemann GAN GNN 140 360 0 02 Mar 2018
Link Prediction Based on Graph Neural Networks Muhan Zhang Yixin Chen GNN 79 1,923 0 27 Feb 2018
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models Jiaxuan You Rex Ying Xiang Ren William L. Hamilton J. Leskovec GNN BDL 108 844 0 24 Feb 2018
Attributed Network Embedding for Learning in a Dynamic Environment Jundong Li Harsh Dani Xia Hu Jiliang Tang Yi-Ju Chang Huan Liu 73 367 0 06 Jun 2017
Supervised Community Detection with Line Graph Neural Networks Zhengdao Chen Xiang Li Joan Bruna 56 78 0 23 May 2017
Dynamic Graph Convolutional Networks Franco Manessi A. Rozza M. Manzo GNN 79 373 0 20 Apr 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 435 7,431 0 04 Apr 2017
Motifs in Temporal Networks Ashwin Paranjape Austin R. Benson J. Leskovec 54 688 0 29 Dec 2016
Structured Sequence Modeling with Graph Convolutional Recurrent Networks Youngjoo Seo M. Defferrard P. Vandergheynst Xavier Bresson GNN 121 768 0 22 Dec 2016
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 Oriol Vinyals Samy Bengio M. Kudlur BDL 167 950 0 19 Nov 2015
Gated Graph Sequence Neural Networks Yujia Li Daniel Tarlow Marc Brockschmidt R. Zemel GNN 305 3,279 0 17 Nov 2015
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 E. Airoldi David M. Blei S. Fienberg Eric Xing 419 2,121 0 30 May 2007