46 citations · 78 across the 6 of their papers we have counts for
4 papers · 1 filter
Link Prediction without Graph Neural Networks
Zexi Huang, Mert Kosan, Arlei Silva +1
Link prediction, which consists of predicting edges based on graph features, is a fundamental task in many graph applications. As for several related problems, Graph Neural Network…
Global Counterfactual Explainer for Graph Neural Networks
Mert Kosan, Zexi Huang, Sourav Medya +2
Graph neural networks (GNNs) find applications in various domains such as computational biology, natural language processing, and computer security. Owing to their popularity, ther…
Graph Neural Diffusion Networks for Semi-supervised Learning
Wei Ye, Zexi Huang, Yunqi Hong +1
Graph Convolutional Networks (GCN) is a pioneering model for graph-based semi-supervised learning. However, GCN does not perform well on sparsely-labeled graphs. Its two-layer vers…
A Broader Picture of Random-walk Based Graph Embedding
Zexi Huang, Arlei Silva, Ambuj Singh
Graph embedding based on random-walks supports effective solutions for many graph-related downstream tasks. However, the abundance of embedding literature has made it increasingly…