96 citations · 415 across the 46 of their papers we have counts for
3 papers · 1 filter
Multi-dimensional Graph Convolutional Networks
Yao Ma, Suhang Wang, Charu C. Aggarwal +2
Convolutional neural networks (CNNs) leverage the great power in representation learning on regular grid data such as image and video. Recently, increasing attention has been paid…
Using link and content over time for embedding generation in Dynamic Attributed Networks
Ana Paula Appel, Renato L. F. Cunha, Charu C. Aggarwal +1
In this work, we consider the problem of combining link, content and temporal analysis for community detection and prediction in evolving networks. Such temporal and content-rich n…
Scalable Spectral Clustering Using Random Binning Features
Lingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen +3
Spectral clustering is one of the most effective clustering approaches that capture hidden cluster structures in the data. However, it does not scale well to large-scale problems d…