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actnn

ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training

bert-pytorch

Google AI 2018 BERT pytorch implementation

cogdl

CogDL: An Extensive Research Platform for Deep Learning on Graphs

crgnn

This repository is an implementation of paper : Improving the Training of Graph Neural Networks with Consistency Regularization

gcc-data

gcn

generativeadversarialusermodel

Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"

gnn

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

grb

Graph Robustness Benchmark: A scalable, general, unified, and reproducible benchmark for evaluating adversarial robustness of Graph Neural Networks

gtn-data

han-data

jekyll-doc-theme

Jekyll theme for creating project documentation websites

kbrd

Source code and dataset for EMNLP 2019 paper "Towards Knowledge-Based Recommender Dialog System"

kobe

Towards Knowledge-Based Personalized Product Description Generation in E-commerce

lcgnn

mdgnn_mag240m

movingaround

A 2D football game by Unity

nlp4rec-papers

Paper list of NLP for recommender system

ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

pgpr

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

prone

Source code and dataset for IJCAI 2019 paper "ProNE: Fast and Scalable Network Representation Learning"

sequence-based-recommendations

test-data

transformer-m

One Transformer Can Understand Both 2D & 3D Molecular Data