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Predicting Disease-related Associations by Heterogeneous Network Embedding.

, , , , , , and . BIBM, page 548-555. IEEE Computer Society, (2018)

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L-Tree Match: A New Data Extraction Model and Algorithm for Huge Text Stream with Noises., and . J. Comput. Sci. Technol., 20 (6): 763-773 (2005)NetCycle+: A Framework for Collective Evolution Inference in Dynamic Heterogeneous Networks., , , and . IEEE Trans. Knowl. Data Eng., 30 (8): 1547-1560 (2018)IGE+: A Framework for Learning Node Embeddings in Interaction Graphs., , , , and . IEEE Trans. Knowl. Data Eng., 33 (3): 1032-1044 (2021)Data Explosion, Data Nature and Dataology., , and . Brain Informatics, volume 5819 of Lecture Notes in Computer Science, page 147-158. Springer, (2009)Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning., , , , , and . ICDM, page 222-231. IEEE, (2020)Improving Chinese Character Representation with Formation Graph Attention Network., , , , , and . CIKM, page 1999-2009. ACM, (2021)A Brain Data Integration Model Based on Multiple Ontology and Semantic Similarity., , and . Brain Informatics, volume 6334 of Lecture Notes in Computer Science, page 192-199. Springer, (2010)AutoCite: Multi-Modal Representation Fusion for Contextual Citation Generation., , , , and . WSDM, page 788-796. ACM, (2021)Multi-source Information Fusion for Personalized Restaurant Recommendation., , , , , and . SIGIR, page 983-986. ACM, (2015)Few-shot Radiology Report Generation for Rare Diseases., , , , and . BIBM, page 601-608. IEEE, (2020)