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Accelerating Graph Convolutional Networks Through a PIM-Accelerated Approach., , , , , , , and . IEEE Trans. Computers, 72 (9): 2628-2640 (September 2023)Multi-scale feature aggregation network for Image super-resolution., , , and . Appl. Intell., 52 (4): 3577-3586 (2022)Hardware-Accelerated Hypergraph Processing with Chain-Driven Scheduling., , , , , , , , and . HPCA, page 184-198. IEEE, (2022)An Efficient Graph Accelerator with Distributed On-Chip Memory Hierarchy., , , , , , , and . ICA3PP, volume 13777 of Lecture Notes in Computer Science, page 773-787. Springer, (2022)Towards Dataflow-Based Graph Accelerator., , , , and . ICDCS, page 1981-1992. IEEE Computer Society, (2017)A Locality-Aware Energy-Efficient Accelerator for Graph Mining Applications., , , , , , , and . MICRO, page 895-907. IEEE, (2020)Robust mesh deformation with salient features preservation., , , and . Sci. China Inf. Sci., 59 (5): 052106:1-052106:9 (2016)Towards dataflow based graph processing., , and . Sci. China Inf. Sci., 60 (12): 126102:1-126102:3 (2017)Accelerating Graph Convolutional Networks Using Crossbar-based Processing-In-Memory Architectures., , , , , , and . HPCA, page 1029-1042. IEEE, (2022)SumPA: Efficient Pattern-Centric Graph Mining with Pattern Abstraction., , , , , and . PACT, page 318-330. IEEE, (2021)