Graph Deep Learning Lab
We investigate fundamental techniques in Graph Deep Learning, a new framework that combines graph theory and deep neural networks.
Pinned
Repositories
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- graphdeeplearning.github.io Public
Deploy website (https://github.com/graphdeeplearning/website) to GitHub pages
- graphtransformer Public
Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
- multigraph_transformer Public
Official code of the paper "Multi-Graph Transformer for Free-Hand Sketch Recognition"
- graph-convnet-tsp Public
Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (arXiv Pre-print)
- learning-paradigms-for-tsp Public
Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)
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- TextCategorization Public
⚡ Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.
