We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.
You must be logged in to block users.
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484
Python 70 7
Forked from dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Python 1
Python 14.3k 3k
DGL implementation of GRAND(Graph Random Neural Network, NeurIPS 2020)
Python 18 3
DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'
Python 67 10
DGL Implementation of InfoGraph model (ICLR 2020)
Python 6 1
There was an error while loading. Please reload this page.