CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056
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Updated
Jun 15, 2026 - Python
CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056
[ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of related open resources for survey paper "Temporal Link Prediction: A Unified Framework, Taxonomy, and Review" which has been accepted by ACM Computing Surveys.
Code for structural temporal graph neural networks for anomaly detection in dynamic graphs
Produs software care are ca scop diminuarea efectelor dezastrelor naturale sau tehnologice, simularea procesului de evacuare a populației din zonele afectate, precum și organizarea sistemului de asistență a persoanelor rănite
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