2 results found Sort:

neerajwagh
eeg-gcnn neerajwagh
31
162
unknown
5
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...
eeg ml4h neurips pytorch eeg-gcnn dgl-graph eeg-signals neurips-2020 deep-learning machine-learning eeg-classification convolutional-network graph-neural-networks eeg-signals-processing
Created 2020-11-03
30 commits to master branch, last one 2 years ago
HannesStark
3DInfomax HannesStark
31
155
unknown
3
Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.
3d gnn graph dgl-graph molecules pytorch-geometric graph-neural-networks self-supervised-learning graph-representation-learning
Created 2021-05-17
900 commits to master branch, last one 2 years ago