A collection of important graph embedding, classification and representation learning papers with implementations.
-
Updated
Mar 18, 2023 - Python
A collection of important graph embedding, classification and representation learning papers with implementations.
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
✨ Implementation of Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning with pytorch and PyG
Source code for the GAtt method in "Revisiting Attention Weights as Interpretations of Message-Passing Neural Networks".
Add a description, image, and links to the graph-attention-model topic page so that developers can more easily learn about it.
To associate your repository with the graph-attention-model topic, visit your repo's landing page and select "manage topics."