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DGSLN: Differentiable graph structure learning neural network for robust graph representations., , , , , and . Inf. Sci., (May 2023)On the Performance Trade-off of Distributed Integrated Sensing and Communication Networks., , , , and . CoRR, (2023)ReGNN: A Redundancy-Eliminated Graph Neural Networks Accelerator., , , and . HPCA, page 429-443. IEEE, (2022)Point Cloud Acceleration by Exploiting Geometric Similarity., , , , and . MICRO, page 1135-1147. ACM, (2023)CoIn: Correlation Induced Clustering for Cognition of High Dimensional Bioinformatics Data., , , , , , , , , and . IEEE J. Biomed. Health Informatics, 27 (2): 598-607 (February 2023)Algorithms and architecture support of degree-based quantization for graph neural networks., , , , and . J. Syst. Archit., (2022)Towards Performance Analysis for Online Data Science Learning Platform., , , , , , , and . ICCSE (2), volume 2024 of Communications in Computer and Information Science, page 357-371. Springer, (2023)Porting and FPGA Implementation of LXDE Desktop Environment Based on RISC-V., , , , , and . CSAE, page 76:1-76:5. ACM, (2021)Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks., , , , , and . ACM Trans. Knowl. Discov. Data, 14 (4): 42:1-42:23 (2020)Gated Residual Recurrent Graph Neural Networks for Traffic Prediction., , , , , , and . AAAI, page 485-492. AAAI Press, (2019)