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TriPoll: computing surveys of triangles in massive-scale temporal graphs with metadata., , , , , and . SC, page 67. ACM, (2021)Embracing Irregular Parallelism in HPC with YGM., , , and . SC, page 35:1-35:13. ACM, (2023)Scale-Free Graph Processing on a NUMA Machine., , and . IA3@SC, page 28-36. IEEE, (2018)A Biomedical Open Knowledge Network Harnesses the Power of AI to Understand Deep Human Biology., , , , , , , , , and 10 other author(s). AI Mag., 43 (1): 46-58 (2022)Approximate Pattern Matching in Massive Graphs with Precision and Recall Guarantees., , , and . SIGMOD Conference, page 1115-1131. ACM, (2020)Towards Practical and Robust Labeled Pattern Matching in Trillion-Edge Graphs., , , , and . CLUSTER, page 1-12. IEEE Computer Society, (2017)Towards Interactive Pattern Search in Massive Graphs., , , and . GRADES-NDA@SIGMOD, page 9:1-9:6. ACM, (2020)There are Trillions of Little Forks in the Road. Choose Wisely! - Estimating the Cost and Likelihood of Success of Constrained Walks to Optimize a Graph Pruning Pipeline., , , , , and . IA3@SC, page 20-27. IEEE, (2018)HyGN: Hybrid Graph Engine for NUMA., , , and . IEEE BigData, page 383-390. IEEE, (2020)Labeled Triangle Indexing for Efficiency Gains in Distributed Interactive Subgraph Search††This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344 (LLNL-CONF-814976). Experiments were performed at the Livermore Computing facility., , , and . IA3@SC, page 45-53. IEEE, (2020)