Popular GitHub Repositories for Sequential Recommendation

A unified, comprehensive and efficient recommendation library

A highly-modularized and recommendation-efficient recommendation library based on PyTorch.

Official implementation of SIGIR'2021 paper: "Sequential Recommendation with Graph Neural Networks".

[TKDE 2022] The source code of "Dynamic Graph Neural Networks for Sequential Recommendation"

[SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"

[WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"

[SIGIR'2024] "SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation"

Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.

The code for the paper "MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation" (ACM MM'23).

An Awesome Collection for Sequential Recommendation and Sequence Modeling in Recommend System

[WSDM 2024 Oral] This is our Pytorch implementation for the paper: "Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation".

IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT

[AAAI'25 Oral] The official implementation code of LLMEmb

The code for the paper "TiM4Rec: An Efficient Sequential Recommendation Model Based on Time-Aware Structured State Space Duality Model"

[SIGIR 2023 Oral] This is our Pytorch implementation for the paper: "Meta-optimized Contrastive Learning for Sequential Recommendation".

Notebooks on using transformers for sequential recommendation tasks

An easy and efficient tool to build sequential recommendation system utilizing SASRec

Codes for Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation (WWW2025)

Integrating Item Relevance in Training Loss for Sequential Recommender Systems

A configurable Transformer-based model for clickstream data