Graph Deep Learning Lab
We investigate fundamental techniques in Graph Deep Learning, a new framework that combines graph theory and deep neural networks.
- 194 followers
- Singapore
- https://graphdeeplearning..io
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- graphtransformer Public
Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
graphdeeplearning/graphtransformer’s past year of commit activity - multigraph_transformer Public Forked from PengBoXiangShang/multigraph_transformer
Official code of the paper "Multi-Graph Transformer for Free-Hand Sketch Recognition"
graphdeeplearning/multigraph_transformer’s past year of commit activity - graph-convnet-tsp Public Forked from chaitjo/graph-convnet-tsp
Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (arXiv Pre-print)
graphdeeplearning/graph-convnet-tsp’s past year of commit activity - learning-paradigms-for-tsp Public Forked from chaitjo/learning-paradigms-for-tsp
Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)
graphdeeplearning/learning-paradigms-for-tsp’s past year of commit activity - spatial_graph_convnets Public Forked from xbresson/spatial_graph_convnets
PyTorch implementation of residual gated graph ConvNets, ICLR’18
graphdeeplearning/spatial_graph_convnets’s past year of commit activity - TextCategorization Public Forked from SuyashLakhotia/TextCategorization
⚡ Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.
graphdeeplearning/TextCategorization’s past year of commit activity
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