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ComRank: community-based ranking approach for heterogeneous information network analysis and mining., и . Int. J. Bus. Intell. Data Min., 17 (4): 493-525 (2020)ComGCN: Community-Driven Graph Convolutional Network for Link Prediction in Dynamic Networks., , , , , и . IEEE Trans. Syst. Man Cybern. Syst., 52 (9): 5481-5493 (2022)Heterogeneous graph convolutional network pre-training as side information for improving recommendation., и . Neural Comput. Appl., 34 (18): 15945-15961 (2022)TAIGA: A Novel Dataset for Multitask Learning of Continuous and Categorical Forest Variables From Hyperspectral Imagery., , , , , и . IEEE Trans. Geosci. Remote. Sens., (2022)W-PathSim: Novel Approach of Weighted Similarity Measure in Content-Based Heterogeneous Information Networks by Applying LDA Topic Modeling., , и . ACIIDS (1), том 10751 из Lecture Notes in Computer Science, стр. 539-549. Springer, (2018)T-MPP: A Novel Topic-Driven Meta-path-Based Approach for Co-authorship Prediction in Large-Scale Content-Based Heterogeneous Bibliographic Network in Distributed Computing Framework by Spark., , , и . ICO, стр. 87-97. (2018)The Ivory Tower Lost: How College Students Respond Differently than the General Public to the COVID-19 Pandemic., , , , и . ASONAM, стр. 126-130. IEEE, (2020)Die algorithmische Darstellbarkeit der _P63- und _S63- Konfiguration <im Vietnamesischen>. HU Berlin, (1966)W-KG2Vec: a weighted text-enhanced meta-path-based knowledge graph embedding for similarity search., и . Neural Comput. Appl., 33 (23): 16533-16555 (2021)Enhanced context-aware citation recommendation with auxiliary textual information based on an auto-encoding mechanism., , , и . Appl. Intell., 53 (14): 17381-17390 (июля 2023)