Osmosis 发表于 2025-3-30 10:37:02
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Interactively Mining Interesting Spatial Co-Location Patterns by Using Fuzzy Ontologiesng the user’s domain knowledge, which is represented by a fuzzy domain ontology. We introduce a generic framework for interactively discovering user-preferred patterns. The user is only asked to express preferences on small sets of patterns, while a filter function is inferred from this feedback bylymphoma 发表于 2025-3-31 05:00:42
Interactively Mining Interesting Spatial Co-Location Patterns by Using Fuzzy Ontologiesng the user’s domain knowledge, which is represented by a fuzzy domain ontology. We introduce a generic framework for interactively discovering user-preferred patterns. The user is only asked to express preferences on small sets of patterns, while a filter function is inferred from this feedback by鉴赏家 发表于 2025-3-31 12:31:50
Representation Learning of Multi-layer Living Circle Structuren of the potential characteristics of the living circle effectively summarizes the multi-layer living circle structure. Finally, an experimental evaluation of the proposed multi-layer living circle structure uses real datasets to verify the validity of the proposed methods in terms of community conv武器 发表于 2025-3-31 16:16:04
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Heterogeneous Graphs Embedding Learning with Metapath Instance Contextson, combines context embeddings obtained from each metapath instance. Semantic aggregation, fuses together the semantic node embeddings derived from different metapaths. Extensive experiments results on two real-world datasets show our model exhibits superior performance in node-related tasks compar