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Open-World Taxonomy and Knowledge Graph Co-Learning.

, и . AKBC, (2022)

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Yang Yang

Yang Yang

Yang Yang

Yang Yang

Yang Yang

 

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GraphBLAST: A High-Performance Linear Algebra-based Graph Framework on the GPU., , и . ACM Trans. Math. Softw., 48 (1): 1:1-1:51 (2022)Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization., , , , и . SIGIR, стр. 1629-1632. ACM, (2020)Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization., , , , , и . NeurIPS, стр. 1766-1779. (2021)Higher-Order Clustering in Heterogeneous Information Networks., , , , и . CoRR, (2018)cube2net: Efficient Query-Specific Network Construction with Data Cube Organization., , , , и . CoRR, (2020)Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond., , , , и . CoRR, (2020)On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs., , , и . CIKM, стр. 3898-3902. ACM, (2022)KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios., , , , , , и . WWW, стр. 1301-1310. ACM, (2022)Federated Node Classification over Graphs with Latent Link-type Heterogeneity., , и . WWW, стр. 556-566. ACM, (2023)When to Pre-Train Graph Neural Networks? From Data Generation Perspective!, , , , , , , и . KDD, стр. 142-153. ACM, (2023)