Villafly

DeepLinker

FGE_algorithm

Principled-approach-to-the-selection-of-the-embedding-dimension-of-networks

defining_identifying_optimal_dimension

Defining and identifying the optimal embedding dimension of networks

dimensional_plot

pickle for plot

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Data-Visualization-Course

deep_linker

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Exploring-small-world-network-with-an-elite-clique-Bringing-embeddedness-theory-into-the-dynamic-ev

implement of the paper published on Social Networks

FastGCN

The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

gcn

Implementation of Graph Convolutional Networks in TensorFlow

node2vec

relational-gcn

Keras-based implementation of Relational Graph Convolutional Networks

snap

Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

vgae_pytorch

This repository implements variational graph auto encoder by Thomas Kipf.

VGNAE

(CIKM'21) Variational Graph Normalized Auto-Encoders

word2vec

Automatically exported from code.google.com/p/word2vec