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Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU., , , and . Proc. VLDB Endow., 13 (8): 1190-1205 (2020)Phoenix: A Substrate for Resilient Distributed Graph Analytics., , , and . ASPLOS, page 615-630. ACM, (2019)CuSP: A Customizable Streaming Edge Partitioner for Distributed Graph Analytics., , , and . IPDPS, page 439-450. IEEE, (2019)Sandslash: A Two-Level Framework for Efficient Graph Pattern Mining., , , , and . CoRR, (2020)Sandslash: a two-level framework for efficient graph pattern mining., , , , and . ICS, page 378-391. ACM, (2021)A Study of Graph Analytics for Massive Datasets on Distributed Multi-GPUs., , , , , and . IPDPS, page 84-94. IEEE, (2020)Optimizing Graph Transformer Networks with Graph-based Techniques., , , , , , and . CoRR, (2021)Distributed Training of Embeddings using Graph Analytics., , , , , and . IPDPS, page 973-983. IEEE, (2021)Gluon: a communication-optimizing substrate for distributed heterogeneous graph analytics., , , , , , , and . PLDI, page 752-768. ACM, (2018)A Study of APIs for Graph Analytics Workloads., , , , , , , and . IISWC, page 228-239. IEEE, (2020)