152 citations · 485 across the 35 of their papers we have counts for
3 papers · 2 filters
Topological Recurrent Neural Network for Diffusion Prediction
Jia Wang, Vincent W. Zheng, Zemin Liu +1
In this paper, we study the problem of using representation learning to assist information diffusion prediction on graphs. In particular, we aim at estimating the probability of an…
Motif-based Convolutional Neural Network on Graphs
Aravind Sankar, Xinyang Zhang, Kevin Chen-Chuan Chang
This paper introduces a generalization of Convolutional Neural Networks (CNNs) to graphs with irregular linkage structures, especially heterogeneous graphs with typed nodes and sch…
Active Learning for Graph Embedding
Hongyun Cai, Vincent W. Zheng, Kevin Chen-Chuan Chang
Graph embedding provides an efficient solution for graph analysis by converting the graph into a low-dimensional space which preserves the structure information. In contrast to the…