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Unfolding dynamics in a social network: co-evolution oflink formation and user interaction., , , , , and . WWW (Companion Volume), page 67-68. International World Wide Web Conferences Steering Committee / ACM, (2013)Process-driven Analysis of Dynamics in Online Social Interactions., , , , and . COSN, page 139-149. ACM, (2015)Optimizing Dynamic Neural Networks with Brainstorm., , , , , , , , , and 4 other author(s). OSDI, page 797-815. USENIX Association, (2023)Welder: Scheduling Deep Learning Memory Access via Tile-graph., , , , , , , , and . OSDI, page 701-718. USENIX Association, (2023)GraM: scaling graph computation to the trillions., , , , , , , , and . SoCC, page 408-421. ACM, (2015)Seraph: an efficient, low-cost system for concurrent graph processing., , , , and . HPDC, page 227-238. ACM, (2014)RPC Considered Harmful: Fast Distributed Deep Learning on RDMA., , , , , and . CoRR, (2018)Towards Efficient Large-Scale Graph Neural Network Computing., , , , , , and . CoRR, (2018)Tux2: Distributed Graph Computation for Machine Learning., , , , , , , and . NSDI, page 669-682. USENIX Association, (2017)Efficient GPU Kernels for N: M-Sparse Weights in Deep Learning., , , , , , , , , and 1 other author(s). MLSys, mlsys.org, (2023)