Cited By
View all- Tang HWang C(2024)Behavioral Unicity: On the Limits of Anonymized Social Behavior MetadataBlockchain and Web3.0 Technology Innovation and Application10.1007/978-981-97-9412-6_1(1-12)Online publication date: 3-Nov-2024
Graph machine learning (Graph ML) models typically require abundant labeled instances to provide sufficient supervision signals, which is commonly infeasible in real-world scenarios since labeled data for newly emerged concepts (e.g., new categorizations ...
Graph-based semi-supervised learning, utilizing both a few labeled nodes and massive unlabeled nodes, has aroused extensive attention in the research community. However, for the graph with few labeled nodes, the performance of Graph Convolutional ...
Partial label learning learns from examples represented by a single instance while associated with multiple candidate labels, among which only one valid label resides. However, in real-world applications, collecting candidate label sets for all ...
Association for Computing Machinery
New York, NY, United States
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in