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annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

anrl

ANRL: Attributed Network Representation Learning via Deep Neural Networks(IJCAI-2018)

app

free software application for social network analysis and visualization

asne

Tensorflow implementation of Attributed Social Network Embedding framework (ASNE)

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-network-embedding

A curated list of network embedding techniques.

awesome-spider

爬虫集合

bat-algorithms

python 数据结构 算法 LeetCode 牛客 面试 编程之美 动态规划 字典树 快速排序 树 字符串 数组 链表 全排列 堆排序 位运算 大数相加

can

Co-embedding Attributed Networks

daf

Efficient Subgraph Matching: Harmonizing Dynamic Programming, Adaptive Matching Order, and Failing Set Together

deepwalk

DeepWalk - Deep Learning for Graphs

demo-net

DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification

dgcnn

Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".

dgl

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

gae

Implementation of Graph Auto-Encoders in TensorFlow

gae-pytorch

Graph Auto-Encoder in PyTorch

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gem

gnnpapers

Must-read papers on graph neural networks (GNN)

graph_datasets

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

graphembedding

Implementation and experiments of graph embedding algorithms.deep walk,LINE(Large-scale Information Network Embedding),node2vec,SDNE(Structural Deep Network Embedding),struc2vec

graphgan

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

keras-gcn

Keras implementation of Graph Convolutional Networks

lane

Label Informed Attributed Network Embedding, WSDM 2017

laplacian-eigenmaps

Spectral embedding using Laplacian Eigenmaps

liblinear

line

LINE: Large-scale information network embedding