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ORCIDGRADES-NDA@SIGMOD 2020: Portland, Oregon, USA
- Akhil Arora, Semih Salihoglu, Nikolay Yakovets:
GRADES-NDA'20: Proceedings of the 3rd Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), Portland, OR, USA, June 14, 2020. ACM 2020, ISBN 978-1-4503-8021-8 - Yizhou Sun:
Graph Neural Networks for Graph Search. 1:1 - Katja Hose
:
The Web of Data is partially unavailable, so what?: Extended Abstract. 2:1 - Vaastav Anand, Puneet Mehrotra, Daniel W. Margo, Margo I. Seltzer:
Smooth Kronecker: Solving the Combing Problem in Kronecker Graphs. 3:1-3:10 - Per Fuchs, Peter Boncz, Bogdan Ghit:
EdgeFrame: Worst-Case Optimal Joins for Graph-Pattern Matching in Spark. 4:1-4:11 - Arseniy Terekhov, Artyom Khoroshev, Rustam Azimov, Semyon V. Grigorev:
Context-Free Path Querying with Single-Path Semantics by Matrix Multiplication. 5:1-5:12 - Xiaofei Zhang, M. Tamer Özsu, Lei Chen:
ELite: Cost-effective Approximation of Exploration-based Graph Analysis. 6:1-6:10 - Eliav Buchnik, Edith Cohen:
Graph Learning with Loss-Guided Training. 7:1-7:13 - Jack Waudby, Benjamin A. Steer, Arnau Prat-Pérez, Gábor Szárnyas:
Supporting Dynamic Graphs and Temporal Entity Deletions in the LDBC Social Network Benchmark's Data Generator. 8:1-8:8 - Tahsin Reza, Matei Ripeanu, Geoffrey Sanders, Roger Pearce:
Towards Interactive Pattern Search in Massive Graphs. 9:1-9:6 - Peter K. Schwab, Maximilian S. Langohr, Klaus Meyer-Wegener:
A Framework for DSL-Based Query Classification Using Relational and Graph-Based Data Models. 10:1-10:5 - Laxman Dhulipala, Jessica Shi, Tom Tseng, Guy E. Blelloch, Julian Shun:
The Graph Based Benchmark Suite (GBBS). 11:1-11:8
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