Sub‑100-ms APIs emerge from disciplined architecture using latency budgets, minimized hops, async fan‑out, layered caching, ...

This is the source code of the GraphSL library to support the research of the graph source localization problem. Due to its importance, some open-source tools have been developed to support research ...

Abstract: Graph Neural Networks (GNNs) have emerged as a promising tool to handle data exhibiting an irregular structure. However, most GNN architectures perform well on homophilic datasets, where the ...

Abstract: In recent years, graph neural networks(GNNs) have been increasingly used in collaborative computing applications such as recommender systems and social ...