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Trajectory Representation Learning Based on Road Network Partition for Similarity Computation.

, , , , , и . DASFAA (1), том 13943 из Lecture Notes in Computer Science, стр. 396-413. Springer, (2023)

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A study on embedding-based entity alignment. University of Queensland, Australia, (2023)TEA: Time-aware Entity Alignment in Knowledge Graphs., , , , и . WWW, стр. 2591-2599. ACM, (2023)Context-Aware Temporal Knowledge Graph Embedding., , , и . WISE, том 11881 из Lecture Notes in Computer Science, стр. 583-598. Springer, (2019)Temporal knowledge completion with context-aware embeddings., , , , и . World Wide Web, 24 (2): 675-695 (2021)Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding., , , , , и . CIKM, стр. 2240-2249. ACM, (2022)Entity Disambiguation Based on Parse Tree Neighbours on Graph Attention Network., , , и . WISE, том 11881 из Lecture Notes in Computer Science, стр. 523-537. Springer, (2019)LoG: a locally-global model for entity disambiguation., , , и . World Wide Web, 24 (1): 351-373 (2021)Ensemble Semi-supervised Entity Alignment via Cycle-Teaching., , , , , , и . AAAI, стр. 4281-4289. AAAI Press, (2022)Informed Multi-context Entity Alignment., , , , и . WSDM, стр. 1197-1205. ACM, (2022)Trajectory Representation Learning Based on Road Network Partition for Similarity Computation., , , , , и . DASFAA (1), том 13943 из Lecture Notes in Computer Science, стр. 396-413. Springer, (2023)