3 papers
cs.LG2026
Robust Smart Contract Vulnerability Detection via Contrastive Learning-Enhanced Granular-ball Training
Zeli Wang, Qingxuan Yang, Shuyin Xia +3
Deep neural networks (DNNs) have emerged as a prominent approach for detecting smart contract vulnerabilities, driven by the growing contract datasets and advanced deep learning te…
cs.DS2025
Scalable Similarity Search over Large Attributed Bipartite Graphs
Xi Ou, Longlong Lin, Zeli Wang +2
Bipartite graphs are widely used to model relationships between entities of different types, where nodes are divided into two disjoint sets. Similarity search, a fundamental operat…
cs.SI2025
NCSAC: Effective Neural Community Search via Attribute-augmented Conductance
Longlong Lin, Quanao Li, Miao Qiao +5
Identifying locally dense communities closely connected to the user-initiated query node is crucial for a wide range of applications. Existing approaches either solely depend on ru…