5 open source projects by GRAND-Lab

This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].

✭ 157

python

2. graph datasets

A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).

✭ 227

graphs graph-database graph-dataset graph-classification

3. Awesome-Graph-Neural-Networks

Paper Lists for Graph Neural Networks

✭ 1,814

deep-learning convolutional-networks graph-attention graph-network generated-graphs graph-auto-encoder

4. TriDNR

Tri-Party Deep Network Representation, IJCAI-16

✭ 72

python graph network-embedding graph-embedding

5. graph-deep-learning

This repository summarises the open source codes of our group

✭ 22

1-5 of 5 user projects