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alp-baselines

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

anrl

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

awesome-graph-classification

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

competition_baselines

开源的各大比赛baseline

data

deeplearningfortsf

深度学习以进行时间序列预测

dgl

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

dhne

This repository contains implementation of DHNE : Network Representation Learning Method for Dynamic Heterogeneous Network.

dyhne

Code and dataset for IEEE TKDE paper "Dynamic Heterogeneous Information Network Embedding with Meta-path based Proximity"

ecos-emse

gat

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

geography-of-open-source-software

ghelephant

Transforms the GH Archive into a Postgres database.

graph2vec

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

graphembedding

Implementation and experiments of graph embedding algorithms.

graphsaint

[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

hin-datasets-for-recommendation-and-network-embedding

Heterogeneous Information Network Datasets for Recommendation and Network Embedding

hin2vec

Heterogeneous information network representation learning

hine

Heterogeneous Information Network Embedding

link-prediction

链路预测学习代码整理

linkpred

Easy link prediction tool

m-nmf

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

magnn

Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

models

Models and examples built with TensorFlow

negative-sampling-paper

This repository collects 100 papers related to negative sampling methods.

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nudt_thesis

NUDT硕士博士毕业论文latex模板

oss_geography_data

Data on the geography of active GitHub Contributors, by country and region.

pgl

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle