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graph-machine-learning

Graph Machine Learning, published by Packt

graph-neural-network-review

graph-transformer

Transformer for Graph Classification (in Pytorch and Tensorflow)

graph2vec

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

graph4nlp

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP

graph4nlp_literature

This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP

graphembedding

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

graphembeddingrecommendationsystem

Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.

graphgan

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

graphneuralnetwork

The learning of the GraphNeuralNetwork

graphsage

Representation learning on large graphs using stochastic graph convolutions.

graphtr

Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation（CIKM20）

graphwavemachine

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

grcn

Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback

gru4rec

GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.

gru4rec-pytorch

An other implementation of GRU4REC using PyTorch

gru4rec_tensorflow

TensorFlow implemenation of GRu4Rec model

gru4recoceanzd

gtrick

Bag of Tricks for Graph Neural Networks.

guided-denoise

The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL

guided_summarization

guwenbert

GuwenBERT: 古文预训练语言模型（古文BERT） a Pre-trained Language Model for Classical Chinese (Literary Chinese)

han

An implementation of HAN (Hierarchical Attention Networks for Document Classification) in PyTorch.

handong1587.github.io

hands-on-reinforcement-learning-with-python

Hands-On Reinforcement Learning with Python, published by Packt

hands_on_ml_with_sklearn_and_tf

:book: [译] Sklearn 与 TensorFlow 机器学习实用指南

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hanlp

自然语言处理 中文分词 词性标注 命名实体识别 依存句法分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁

har

Code for WWW2019 paper "A Hierarchical Attention Retrieval Model for Healthcare Question Answering"

harvesttext

文本挖掘和预处理工具（文本清洗、新词发现、情感分析、实体识别链接、关键词抽取、知识抽取、句法分析等），无监督或弱监督方法