network-representation-learning: DeepWalk, LINE, Node2Vec, GraRep

Tri-Party Deep Network Representation (IJCAI 2016)

This is a sample implementation of "Asymmetric Transitivity Preserving Graph Embedding"(KDD 2016).

This is a sample implementation of "TIMERS: Error-Bounded SVD Restart on Dynamic Networks"(AAAI 2018).

This is a sample implementation of "Community Preserving Network Embedding" (AAAI 2017).

This is python implementation of "Arbitrary-Order Proximity Preserved Network Embedding"

Implementation of the Mineral algorithm as described in the paper, Mineral: Multi-modal Network Representation Learning.

This is the official implementation of "Arbitrary-Order Proximity Preserved Network Embedding"(KDD 2018).

NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching

The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)

AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning

A database for storing and comparing entity embeddings

NetHash algorithm from IJCAI 2018

DeepWalk - Deep Learning for Graphs

Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"

DAOR Parameter-free Embedding Framework for Large Graphs (Networks)

Network representation learning on drug-target-side effects-indication graphs for side effect prediction

Representation-Learning-on-Heterogeneous-Graph

Code for the ICDM 2019 Paper "RiWalk: Fast Structural Node Embedding via Role Identification".

Source code and dataset for IJCAI 2019 paper "ProNE: Fast and Scalable Network Representation Learning"