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Hugo Firth
Hugo Firth
Distributed Systems Engineer @ Neo4j
Verified email at neo4j.com
Title
Cited by
Cited by
Year
Workload-aware streaming graph partitioning
H Firth, P Missier
GraphQ Workshop co-located with EDBT/ICDT 2016 Joint Conference, 2016
182016
TAPER: query-aware, partition-enhancement for large, heterogenous graphs
H Firth, P Missier
Distributed and Parallel Databases 35 (2), 85-115, 2017
122017
ProvGen: generating synthetic PROV graphs with predictable structure
H Firth, P Missier
Provenance and Annotation of Data and Processes: 5th International …, 2015
122015
Meeting graduate employability needs through open-source collaboration with industry
M Forshaw, E Solaiman, O McGee, H Firth, P Robinson, R Emerson
Proceedings of the 47th ACM Technical Symposium on Computing Science …, 2016
82016
Loom: Query-aware partitioning of online graphs
H Firth, P Missier, J Aiston
arXiv preprint arXiv:1711.06608, 2017
72017
Graph database system to safely store data at high volume and scale
J Webber, H Firth
US Patent 11,481,385, 2022
12022
Workload-sensitive approaches to improving graph data partitioning online
HEB Firth
Newcastle University, 2018
12018
Mammoths are Slow: The Overlooked Transactions of Graph Data
A Cheng, J Waudby, H Firth, N Crooks, I Stoica
Proceedings of the VLDB Endowment 17 (4), 904-911, 2023
2023
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