dgl-graph topic

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

HannesStark

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with...

neerajwagh

Implementation for the paper: Representation Learning on Knowledge Graphs for Node Importance Estimation

GRAPH-0