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Motif-guided heterogeneous graph deep generation., , and . Knowl. Inf. Syst., 65 (7): 3099-3124 (July 2023)GraphBLAST: A High-Performance Linear Algebra-based Graph Framework on the GPU., , and . ACM Trans. Math. Softw., 48 (1): 1:1-1:51 (2022)BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks., , , , , , , , , and . IEEE Trans. Medical Imaging, 42 (2): 493-506 (February 2023)Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis., , , , , , , , , and 2 other author(s). ISBI, page 1-5. IEEE, (2023)Introduction to GraphBLAS., , , , , , , , , and 6 other author(s). Massive Graph Analytics, Chapman and Hall/CRC, (2022)KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios., , , , , , and . WWW, page 1301-1310. ACM, (2022)Federated Node Classification over Graphs with Latent Link-type Heterogeneity., , and . WWW, page 556-566. ACM, (2023)On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs., , , and . CIKM, page 3898-3902. ACM, (2022)Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression., , , , , , , , and . ICDM, page 1349-1354. IEEE, (2023)Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning., , , , , , and . KDD, page 4743-4751. ACM, (2022)