Code and models for the paper "One Transformer Fits All Distributions in Multi-Modal Diffusion"

Best Practices on Recommendation Systems

RecSys 2022 Tutorial Hands on Explainable Recommender Systems with Knowledge Graphs

Recommender Systems Paperlist that I am interested in

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Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESM…

The source code for "Global Context Enhanced Graph Neural Network for Session-based Recommendation".

A unified, comprehensive and efficient recommendation library

This is the official code for WWW 2021 paper "Session-aware Linear Item-Item Models for Session-based Recommendation"

中国科学院大学2019-2020课程（秋季，春季，夏季）

Code for the WWW'21 paper "HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering"

PyTorch Tutorial for Deep Learning Researchers

This is our implementation of GHCF: Graph Heterogeneous Collaborative Filtering (AAAI 2021)

The paper author has released the source code as following https://github.com/CCIIPLab/GCE-GNN

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Must-read papers on graph neural networks (GNN)

Graph Neural Network

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

Tensors and Dynamic neural networks in Python with strong GPU acceleration

A Collaborative Session-based Recommendation Approach with Parallel Memory Modules, SIGIR 2019

This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)

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Download and preprocess popular sequential recommendation datasets

A comprehensive collection of recent papers on graph deep learning

A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)

Classic papers and resources on recommendation

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems