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GRADES-NDA@SIGMOD 2021: Virtual Event, China

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Vasiliki Kalavri, Nikolay Yakovets:
GRADES-NDA '21: Proceedings of the 4th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), Virtual Event, China, 20 June 2021. ACM 2021, ISBN 978-1-4503-8477-3
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Angela Bonifati:
Graph processing systems back to the future. 1:1
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  - conf/sigmod/Scarpino21
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Samuel V. Scarpino:
Networked data and COVID-19. 2:1-2:2
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Jonas Dann, Daniel Ritter, Holger Fröning:
Demystifying memory access patterns of FPGA-based graph processing accelerators. 3:1-3:10
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Rustam Azimov, Ilya Epelbaum, Semyon V. Grigorev:
Context-free path querying with all-path semantics by matrix multiplication. 4:1-4:7
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Florentin Dörre, Alexander Krause, Dirk Habich, Martin Junghanns:
A GraphBLAS implementation in pure Java. 5:1-5:9
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  - conf/sigmod/GeppertBR21
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Heiko Geppert, Sukanya Bhowmik, Kurt Rothermel:
Large-scale influence maximization with the influence maximization benchmarker suite. 6:1-6:11
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Hassan Halawa, Matei Ripeanu:
Position paper: bitemporal dynamic graph analytics. 7:1-7:12
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Amine Mhedhbi, Matteo Lissandrini, Laurens Kuiper, Jack Waudby, Gábor Szárnyas:
LSQB: a large-scale subgraph query benchmark. 8:1-8:11
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Nafisa Anzum, Semih Salihoglu:
R2GSync and edge views: practical RDBMS to GDBMS synchronization. 9:1-9:9

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