270 citations · 807 across the 14 of their papers we have counts for
3 papers · 1 filter
Enhanced Network Embeddings via Exploiting Edge Labels
Haochen Chen, Xiaofei Sun, Yingtao Tian +3
Network embedding methods aim at learning low-dimensional latent representation of nodes in a network. While achieving competitive performance on a variety of network inference tas…
A Tutorial on Network Embeddings
Haochen Chen, Bryan Perozzi, Rami Al-Rfou +1
Network embedding methods aim at learning low-dimensional latent representation of nodes in a network. These representations can be used as features for a wide range of tasks on gr…
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification
Sami Abu-El-Haija, Amol Kapoor, Bryan Perozzi +1
Graph Convolutional Networks (GCNs) have shown significant improvements in semi-supervised learning on graph-structured data. Concurrently, unsupervised learning of graph embedding…