TREND: TempoRal Event and Node Dynamics for graph representation learning

TREND: TempoRal Event and Node Dynamics for graph representation learning

Temporal graph representation learning has drawn significant attention for the prevalence of temporal graphs in the real world. However, most existing works resort to taking discrete snapshots of the temporal graph, or are not inductive to deal with new nodes, or do not model the exciting effects wh...

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Bibliographic Details
Main Authors: WEN, Zhihao, FANG, Yuan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
Subjects:
Temporal graphs
Hawkes process
GNN
event and node dynamics
Databases and Information Systems
Graphics and Human Computer Interfaces
Online Access:https://ink.library.smu.edu.sg/sis_research/7482
https://ink.library.smu.edu.sg/context/sis_research/article/8485/viewcontent/TheWebConf22_TREND.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/7482
https://ink.library.smu.edu.sg/context/sis_research/article/8485/viewcontent/TheWebConf22_TREND.pdf

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