#

graph-embedding-approaches

Here is 1 public repository matching this topic...

jhljx / CTGCN

CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056

edge-classification network-embedding link-prediction dynamic-graph-algorithm graph-embedding graph-convolutional-network node-classification graph-neural-networks graph-representation-learning dynamic-graphs graph-neural-network dynamic-graph-embedding dynamic-graph-processing temporal-graph-networks graph-embedding-approaches graph-centrality-prediction

Updated Aug 25, 2025
Python

Improve this page

Add a description, image, and links to the graph-embedding-approaches topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the graph-embedding-approaches topic, visit your repo's landing page and select "manage topics."