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Graph neural networks denote a group of neural network models introduced for the representation learning tasks on graph data specifically.
Semi-supervised classification with graph convolutional networks
Thomas N. Kipf and Max Welling · 2016
Earlier work this paper cites.
Inductive representation learning on large graphs
William L. Hamilton, Rex Ying, and Jure Leskovec · 2017
Earlier work this paper cites.
Structural deep brain network mining
Shen Wang, Lifang He, Bokai Cao, Chun-Ta Lu, Philip S. Yu, and Ann B. Ragin · 2017
Earlier work this paper cites.
Graph Attention Networks
Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, and Yoshua Bengio · 2018
Cited alongside, same era.
Fake news detection with deep diffusive network model
Jiawei Zhang, Limeng Cui, Yanjie Fu, and Fisher B. Gouza · 2018
Cited alongside, same era.
SEGEN: sample-ensemble genetic evolutional network model
Jiawei Zhang, Limeng Cui, and Fisher B. Gouza · 2018
Cited alongside, same era.
Ensemble-Spotting: Ranking Urban Vibrancy via POI Embedding with Multi-view Spatial Graphs
Pengyang Wang, Jiawei Zhang, Guannan Liu, Yanjie Fu, and Charu Aggarwal
Cited in the paper.
Graph neural lasso for dynamic network regression
Yixin Chen, Lin Meng, and Jiawei Zhang · 2019
Closest in time.
Isonn: Isomorphic neural network for graph representation learning and classification
Lin Meng and Jiawei Zhang · 2019
Closest in time.
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