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Efficient Data Loader for Fast Sampling-Based GNN Training on Large Graphs., , , , , , and . IEEE Trans. Parallel Distributed Syst., 32 (10): 2541-2556 (2021)NeuGraph: Parallel Deep Neural Network Computation on Large Graphs., , , , , , and . USENIX Annual Technical Conference, page 443-458. USENIX Association, (2019)Adam Accumulation to Reduce Memory Footprints of Both Activations and Gradients for Large-Scale DNN Training., , , , , , , and . ECAI, volume 372 of Frontiers in Artificial Intelligence and Applications, page 3058-3065. IOS Press, (2023)ImmortalGraph: A System for Storage and Analysis of Temporal Graphs., , , , , , , , and . ACM Trans. Storage, 11 (3): 14:1-14:34 (2015)Motif-Preserving Temporal Network Embedding., , , , and . IJCAI, page 1237-1243. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..PaGraph: Scaling GNN training on large graphs via computation-aware caching., , , , and . SoCC, page 401-415. ACM, (2020)Towards Efficient Large-Scale Graph Neural Network Computing., , , , , , and . CoRR, (2018)ZIPPER: Exploiting Tile- and Operator-level Parallelism for General and Scalable Graph Neural Network Acceleration., , , , , , , and . CoRR, (2021)CrossoverScheduler: Overlapping Multiple Distributed Training Applications in a Crossover Manner., , , , and . CoRR, (2021)RPC Considered Harmful: Fast Distributed Deep Learning on RDMA., , , , , and . CoRR, (2018)