31 citations · 63 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 17 cited
Node-wise Localization of Graph Neural Networks
Zemin Liu, Yuan Fang, Chenghao Liu +1
Graph neural networks (GNNs) emerge as a powerful family of representation learning models on graphs. To derive node representations, they utilize a global model that recursively a…
cs.LG2021★ 31 cited
Meta-Inductive Node Classification across Graphs
Zhihao Wen, Yuan Fang, Zemin Liu
Semi-supervised node classification on graphs is an important research problem, with many real-world applications in information retrieval such as content classification on a socia…
cs.LG2017★ 15 cited
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…