A PyTorch Geometric implementation of SimGNN with some extensions.
Implementation code for GraphMIX: Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning
Graph neural network models to perform link prediction on the nba and ncaa point differential graph on seasons 2013-2019, 2021.
RGCVAE: Relational Graph Conditioned Variational Autoencoder for Molecule Design
Predict the properties of molecules through contrastive pre-training and Graph Isomorphism
GNNs for protein graph classification on OGBG-PPA with GCN, GIN and baseline models.
Pretrained GIN with AttrMasking for Pgp inhibition prediction — AUROC 0.937 ± 0.004 (TDC Leaderboard #2)
Explainability study of Graph Neural Networks for fraud detection (DGraphFin) and molecular property prediction (B-XAIC), using multiple GNN explainers.
Add a description, image, and links to the graph-isomorphism-network topic page so that developers can more easily learn about it.
To associate your repository with the graph-isomorphism-network topic, visit your repo's landing page and select "manage topics."