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Graphical event models (GEMs) are representations that capture process independence between different types of events in multivariate temporal point processes. The literature consists of various parametric models and approaches to learn them from multivariate event stream data. Since these models are interpretable, they are often able to provide beneficial insights about event dynamics. Below are the slides for our recent tutorials on this topic.
Graphical event models (GEMs) are representations that capture process independence between different types of events in multivariate temporal point processes. The literature consists of various parametric models and approaches to learn them from multivariate event stream data. Since these models are interpretable, they are often able to provide beneficial insights about event dynamics. Below are the slides for our recent tutorials on this topic.
IJCAI 2023 Tutorial on "Graphical Event Models"
IJCAI 2023 Tutorial on "Graphical Event Models"
Presenters:
Debarun Bhattacharjya
Tian Gao
Søren Wengel Mogensen
Xiao Shou
Topics include:
1) Background on Temporal Point Processes,
2) Graphs and Temporal Point Processesm
3) Parametric Graphical Event Models,
4) Neural Temporal Point Processes, and
5) Causality in Temporal point process
UAI 2022 Tutorial on "Graphical Models Meet Temporal Point Processes"
UAI 2022 Tutorial on "Graphical Models Meet Temporal Point Processes"
Presenters:
Debarun Bhattacharjya
Abir De
Tian Gao
Søren Wengel Mogensen
Topics include:
1) Background on Temporal Point Processes,
2) Graphs and Temporal Point Processes,
3) Parametric Graphical Event Models,
4) Neural Temporal Point Processes, and
5) Temporal Point Processes on Network Data
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