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Deep Iterative and Adaptive Learning for Graph Neural Networks

Deep Iterative and Adaptive Learning for Graph Neural Networks

Yu Chen
Lingfei Wu
Mohammed J Zaki
    GNN
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Papers citing "Deep Iterative and Adaptive Learning for Graph Neural Networks"

6 / 6 papers shown
Title
Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation
Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation
Yu Chen
Lingfei Wu
Mohammed J Zaki
GNN
45
156
0
14 Aug 2019
GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension
GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension
Yu Chen
Lingfei Wu
Mohammed J Zaki
54
76
0
31 Jul 2019
Contextualized Non-local Neural Networks for Sequence Learning
Contextualized Non-local Neural Networks for Sequence Learning
Pengfei Liu
Shuaichen Chang
Xuanjing Huang
Jian Tang
Jackie C.K. Cheung
55
47
0
21 Nov 2018
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions
Sjoerd van Steenkiste
Michael Chang
Klaus Greff
Jürgen Schmidhuber
BDL
OCL
DRL
198
291
0
28 Feb 2018
Adaptive Graph Convolutional Neural Networks
Adaptive Graph Convolutional Neural Networks
Ruoyu Li
Sheng Wang
Feiyun Zhu
Junzhou Huang
GNN
117
757
0
10 Jan 2018
Learning Multiagent Communication with Backpropagation
Learning Multiagent Communication with Backpropagation
Sainbayar Sukhbaatar
Arthur Szlam
Rob Fergus
212
1,146
0
25 May 2016