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BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks (Extended Abstract).

H. Cui, W. Dai, Y. Zhu, X. Kan, A. Gu, J. Lukemire, L. Zhan, L. He, Y. Guo, и C. Yang. IEEE Big Data, стр. 4968-4969. IEEE, (2022)

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Yang Yang

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GraphBLAST: A High-Performance Linear Algebra-based Graph Framework on the GPU.C. Yang, A. Buluç, и J. Owens. ACM Trans. Math. Softw., 48 (1): 1:1-1:51 (2022)BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks.H. Cui, W. Dai, Y. Zhu, X. Kan, A. Gu, J. Lukemire, L. Zhan, L. He, Y. Guo, и C. Yang. IEEE Trans. Medical Imaging, 42 (2): 493-506 (февраля 2023)Deep Graph Neural Networks via Flexible Subgraph Aggregation.J. Zhou, Y. Du, R. Zhang, D. Jin, C. Yang, и R. Zhang. CoRR, (2023)Weakly Supervised Concept Map Generation Through Task-Guided Graph Translation.J. Lu, X. Dong, и C. Yang. IEEE Trans. Knowl. Data Eng., 35 (10): 10871-10883 (октября 2023)Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery.C. Yang, M. Liu, F. He, X. Zhang, J. Peng, и J. Han. CoRR, (2019)GCN for HIN via Implicit Utilization of Attention and Meta-paths.D. Jin, Z. Yu, D. He, C. Yang, P. Yu, и J. Han. CoRR, (2020)Effective and Interpretable fMRI Analysis via Functional Brain Network Generation.X. Kan, H. Cui, Y. Guo, и C. Yang. CoRR, (2021)Helper Recommendation with seniority control in Online Health Community.J. Gao, C. Ling, C. Yang, и L. Zhao. CoRR, (2023)Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond.C. Yang, Y. Xiao, Y. Zhang, Y. Sun, и J. Han. CoRR, (2020)BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis.H. Cui, W. Dai, Y. Zhu, X. Li, L. He, и C. Yang. CoRR, (2021)

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Yang Yang

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Yang Yang

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