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PersGNN: Applying Topological Data Analysis and Geometric Deep Learning to Structure-Based Protein Function Prediction.

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Technical perspective - Abstraction for parallelism.. Commun. ACM, 52 (9): 88 (2009)Combining Unification Algorithms for Confined Regular Equational Theories.. RTA, volume 202 of Lecture Notes in Computer Science, page 365-380. Springer, (1985)Opportunities and Challenges for Next Generation Computing., , and . CoRR, (2020)The Parallelism Motifs of Genomic Data Analysis., , , , , , , , , and 4 other author(s). CoRR, (2020)Scalable Processors in the Billion-Transistor Era: IRAM., , , , , , , , , and 3 other author(s). Computer, 30 (9): 75-78 (1997)Special Issue on Automatic Performance Tuning.. Int. J. High Perform. Comput. Appl., 18 (1): 19 (2004)Communication lower bounds and optimal algorithms for programs that reference arrays - Part 1., , , , and . CoRR, (2013)Cluster I/O with River: Making the Fast Case Common., , , , , , and . IOPADS, page 10-22. ACM, (1999)Empirical Evaluation of the CRAY-T3D: A Compiler Perspective., , , , and . ISCA, page 320-331. ACM, (1995)Communication Optimizations for Fine-Grained UPC Applications., , and . IEEE PACT, page 267-278. IEEE Computer Society, (2005)