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HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management., , , , и . ICDE, стр. 558-571. IEEE, (2023)Automating Incremental and Asynchronous Evaluation for Recursive Aggregate Data Processing., , , , , , и . SIGMOD Conference, стр. 2439-2454. ACM, (2020)NeutronStar: Distributed GNN Training with Hybrid Dependency Management., , , , , и . SIGMOD Conference, стр. 1301-1315. ACM, (2022)NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments., , , , , , , и . CoRR, (2023)NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments., , , , , , , и . Proc. VLDB Endow., 17 (8): 1995-2008 (апреля 2024)NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams., , , , , , , , и . CoRR, (2023)Partition-Oriented Subgraph Matching on GPU., , , , и . APWeb/WAIM (1), том 12317 из Lecture Notes in Computer Science, стр. 53-68. Springer, (2020)BG3: A Cost Effective and I/O Efficient Graph Database in Bytedance., , , , , , , , , и 7 other автор(ы). SIGMOD Conference Companion, стр. 360-372. ACM, (2024)Distributed Graph Processing: Techniques and Systems., , и . APWeb/WAIM Workshops, том 1373 из Communications in Computer and Information Science, стр. 14-23. Springer, (2020)HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management., , , , и . CoRR, (2022)