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G-Sparse: Compiler-Driven Acceleration for Generalized Sparse Computation for Graph Neural Networks on Modern GPUs., , , , , , , , и . PACT, стр. 137-149. IEEE, (2023)TeGraph: A Novel General-Purpose Temporal Graph Computing Engine., , , , , , , , и . ICDE, стр. 578-592. IEEE, (2022)TeGraph+: Scalable Temporal Graph Processing Enabling Flexible Edge Modifications., , , , , , и . IEEE Trans. Parallel Distributed Syst., 35 (8): 1469-1487 (августа 2024)TEA: A General-Purpose Temporal Graph Random Walk Engine., , , , , , , , , и . EuroSys, стр. 182-198. ACM, (2023)Wonderland: A Novel Abstraction-Based Out-Of-Core Graph Processing System., , , , , и . ASPLOS, стр. 608-621. ACM, (2018)Revisiting Learned Index with Byte-addressable Persistent Storage., , , , , , , , , и 1 other автор(ы). ICPP, стр. 929-938. ACM, (2024)Bring orders into uncertainty: enabling efficient uncertain graph processing via novel path sampling on multi-accelerator systems., , , , , , , , , и 2 other автор(ы). ICS, стр. 11:1-11:14. ACM, (2022)TEA+: A Novel Temporal Graph Random Walk Engine with Hybrid Storage Architecture., , , , , , , , , и 1 other автор(ы). ACM Trans. Archit. Code Optim., 21 (2): 37 (июня 2024)Tango: rethinking quantization for graph neural network training on GPUs., , , , , и . CoRR, (2023)T-GCN: A Sampling Based Streaming Graph Neural Network System with Hybrid Architecture., , , , , , , , и . PACT, стр. 69-82. ACM, (2022)