Hierarchy-Aware Neural Subgraph Matching With Enhanced Similarity Measure
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2025.3583003
Abstract: Subgraph matching is challenging as it necessitates time-consuming combinatorial searches. Recent Graph Neural Network (GNN)-based approaches address this issue by employing GNN encoders to extract graph information and hinge distance measures to ensure containment constraints… read more here.
Keywords: neural subgraph; graph pairs; measure; subgraph matching ... See more keywords
Neural subgraph counting on stream graphs via localized updates and monotonic learning
Sign Up to like & getrecommendations! Published in 2025 at "PLOS One"
DOI: 10.1371/journal.pone.0334724
Abstract: Graphs are a representative type of fundamental data structures. They are capable of representing complex association relationships in diverse domains. For large-scale graph processing, the stream graphs have become efficient tools to process dynamically evolving… read more here.
Keywords: subgraph counting; graphs; stream graphs; neural subgraph ... See more keywords