Ambuj K. Singh

Graph Neural Diffusion Networks for Semi-supervised Learning

2022 · arXiv (Cornell University)

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 version cannot effectively propagate the label information to the whole graph structure …

Link Prediction without Graph Neural Networks

2023 · arXiv (Cornell University)

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 Networks (GNNs), which are based on an attribute-centric message-passing …