Graph Attention Auto-Encoders

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

resources for graph convolutional networks （图卷积神经网络相关资源）

Neural Graph Collaborative Filtering, SIGIR2019

Implementation of Graph Convolutional Networks in TensorFlow

A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).

PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)

Heterogeneous Graph Neural Network

Machine learning, in numpy

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

GAKE: Graph Aware Knowledge Embedding(COLING2016)

Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)

Code for Deep Anomaly Detection on Attributed Networks (SDM2019)

WSU CPTS 360 projects

WSU CptS 360 - Systems Programming

Extended version of the Lancichinetti-Fortunato-Radicchi Benchmark for Undirected Weighted Overlapping networks to evaluate clustering algorithms using generated ground-truth communities

Various Jupyter notebooks for multiple purposes

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

This repository will contain my work from the Master Algorithmic Programming Techniques Specialization that was created by UC San Diego and delivered through Coursera.

All projects about ucb-61b(2014 spring), http://www.cs.berkeley.edu/~jrs/61b/index.html

A collection of classic computer science books from Internet

A collection of algorithms for mining data streams

Text and supporting code for Think Stats, 2nd Edition

Prize-Collecting Steiner Tree Implementation

jos是mit6.828课程所用的操作系统，此处记录7个Lab的学习笔记。

A fast implementation of the Goemans-Williamson scheme for the prize-collecting Steiner tree / forest problem.