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
Aug 25, 2025 - Python
CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056
Deprecated: Use the @encapsule/arccore package that includes the graph library
The model for edge classification by transforming edges to nodes.
Edge Classification using Graph Neural Network
Mobilenet v1 (3,160,160, alpha=0.25, and 3,192,192, alpha=0.5) on STM32H7 using X-CUBE-AI v4.1.0
A comprehensive research platform for Graph Neural Networks (GNNs) featuring 10+ applications including node and graph classification, link prediction, community detection, anomaly detection, and dynamic graph modelling, all with an interactive web interface.
Graph extraction from 3D roof file (.obj file)
Molecular Graphs Node/Edge-level Classification GNN
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