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From random-walks to graph-sprints: a low-latency node embe..:

, In: Proceedings of the Fourth ACM International Conference on AI in Finance,

Eddin, Ahmad Naser ; Bono, Jacopo ; Aparício, David... - p. 176-184 , 2023

Link: https://dl.acm.org/doi/10.1145/3604237.3626842

RT 
T1 <cTitle>Proceedings of the Fourth ACM International Conference on AI in Finance</cTitle>: T1 <Title>From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3626842&Exemplar=1&LAN=DE
				
A1 Eddin, Ahmad Naser
A1 Bono, Jacopo
A1 Aparício, David
A1 Ferreira, Hugo
A1 Ascensão, João Tiago
A1 Ribeiro, Pedro
A1 Bizarro, Pedro
PB ACM
YR 2023
K1 Continuous-time dynamic graphs (CTDGs)
K1 Graph Neural Networks
K1 Graph feature engineering
K1 Graph representation learning
K1 Streaming graphs
K1 Computing methodologies
K1 Artificial intelligence
K1 Knowledge representation and reasoning
K1 Temporal reasoning
K1 Applied computing
K1 Enterprise computing
K1 Enterprise information systems
K1 Enterprise applications
K1 Computer systems organization
K1 Real-time systems
K1 Real-time system architecture
K1 Information systems
K1 Data management systems
K1 Information integration
K1 Extraction, transformation and loading
SP 176
OP 184
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3604237.3626842
DO https://dl.acm.org/doi/10.1145/3604237.3626842
SF ELIB - SuUB Bremen

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