Abstract: Regular path queries (RPQs) in graph databases are bottlenecked by the memory wall. Emerging processing-in-memory (PIM) technologies offer a promising solution to dispatch and execute path ...
Abstract: Generating discriminative node representations for heterogeneous graphs based on contrastive learning with graph neural networks has become an important topic in data mining. Many existing ...