TKDE-Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors

This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.

Python library for working with kernel methods in machine learning

An Open-Source Package for Network Embedding (NE)

A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)

Implementation of Graph Auto-Encoders in TensorFlow

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). Adve…

LINE: Large-scale information network embedding

DeepWalk - Deep Learning for Graphs

Baselines for anchor link prediction (including MNA, PALE, IONE, FINAL, FRUI-P, CROSSMNA, REGAL, HYDRA, STUL)

Baselines for anchor link prediction (including MNA, PALE, IONE, FINAL, FRUI-P, CROSSMNA, REGAL)

Implementation of Paper "Deep Active Learning for Anchor User Prediction"