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BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing., , , , , , , , , and . NSDI, page 103-118. USENIX Association, (2023)Grasper: A High Performance Distributed System for OLAP on Property Graphs., , , , , , , and . SoCC, page 87-100. ACM, (2019)A Representation Learning Framework for Property Graphs., , , , and . KDD, page 65-73. ACM, (2019)Circinus: Fast Redundancy-Reduced Subgraph Matching., , , , , , , and . Proc. ACM Manag. Data, 1 (1): 12:1-12:26 (2023)High Performance Distributed OLAP on Property Graphs with Grasper., , , , , , and . SIGMOD Conference, page 2705-2708. ACM, (2020)Active Sensing for Beam Management: A Deep-Learning Approach., , , , and . WCNC, page 1-6. IEEE, (2023)Fast Maximal Clique Enumeration on Uncertain Graphs: A Pivot-based Approach., , , , and . SIGMOD Conference, page 2034-2047. ACM, (2022)Rate-Splitting for Overloaded Multigroup Multicast: Error Performance Evaluation., , , , and . ICC Workshops, page 1-6. IEEE, (2020)Retrieval-Augmented Generation with Hierarchical Knowledge., , , , , , , and . CoRR, (March 2025)Lightning Fast and Space Efficient k-clique Counting., , , , and . WWW, page 1191-1202. ACM, (2022)