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diffpool

distribution-is-all-you-need

The basic distribution probability Tutorial for Deep Learning Researchers

dive-into-dl-pytorch

Dive into Deep Learning (动手学深度学习) with PyTorch.

elmo-tutorial

A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)

elmoformanylangs

Pre-trained ELMo Representations for Many Languages

event_detector

Event Detection and Domain Adaptation with Convolutional Neural Networks

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fastai

The fastai deep learning library, plus lessons and and tutorials

fastgcn

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

gat

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

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gcn_tutorial

A tutorial on Graph Convolutional Neural Networks

gem

ggnn.pytorch

A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)

gpudmm

Topic Modeling for Short Texts with Auxiliary Word Embeddings

graphembedding

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

graphsage

Representation learning on large graphs using stochastic graph convolutions.

graphsage-simple

Simple reference implementation of GraphSAGE.

grarep

A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).

han

Heterogeneous Graph Neural Network

harp

Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"

hconv-gpool-net

TensorFlow implementation of Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations (WWW19)

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

Heterogeneous Information Network Datasets for Recommendation and Network Embedding

hub

A library for transfer learning by reusing parts of TensorFlow models.

iclr2019

Reproduction of How Powerful are Graph Neural Networks? paper from ICLR 2019

kdd2019-meirec

KDD2019-Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation

lgcn

lgrec

Source code for CIKM2018 paper "Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network"

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

line

TensorFlow implementation of paper "LINE: Large-scale Information Network Embedding" by Jian Tang, et al.