GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph
Convolutional Networks

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GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks

26 February 2019

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Papers citing "GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks"

7 / 7 papers shown

Title
SepNE: Bringing Separability to Network Embedding Ziyao Li Liang Zhang Guojie Song GNN 42 13 0 14 Nov 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling Jie Chen Tengfei Ma Cao Xiao GNN 144 1,513 0 30 Jan 2018
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 186 10,876 0 03 Jul 2016
Learning Convolutional Neural Networks for Graphs Mathias Niepert Mohamed Ahmed Konstantin Kutzkov GNN SSL 138 2,154 0 17 May 2016
Deep Convolutional Networks on Graph-Structured Data Mikael Henaff Joan Bruna Yann LeCun GNN 157 1,587 0 16 Jun 2015
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 257 9,789 0 26 Mar 2014
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 220 4,876 0 21 Dec 2013