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Strategic behavior and learning in all-pay auctions: an empirical study using crowdsourced data., , , and . Auton. Agents Multi Agent Syst., 33 (1-2): 192-215 (2019)Strategyproof mechanisms for competitive influence in networks., , , and . WWW, page 141-150. International World Wide Web Conferences Steering Committee / ACM, (2013)Survey of commercial parallel machines., and . SIGARCH Comput. Archit. News, 21 (3): 13-33 (1993)LSP : Acceleration and Regularization of Graph Neural Networks via Locality Sensitive Pruning of Graphs., , and . CoRR, (2021)Analyzing Power in Weighted Voting Games with Super-Increasing Weights., , , and . SAGT, volume 9928 of Lecture Notes in Computer Science, page 169-181. Springer, (2016)LSP: Acceleration of Graph Neural Networks via Locality Sensitive Pruning of Graphs., , and . ICDM (Workshops), page 690-697. IEEE, (2022)Generating Character Descriptions for Automatic Summarization of Fiction., , and . AAAI, page 7476-7483. AAAI Press, (2019)Predicting User Demography and Device from News Comments., , and . SIGIR, page 1995-1999. ACM, (2021)Power Distribution in Randomized Weighted Voting: the Effects of the Quota., , , and . CoRR, (2014)Truthful Mechanisms for Competing Submodular Processes, , , and . CoRR, (2012)