juyongjiang / awesome-graph-self-supervised-learning-based-recommendation
A curated list of awesome graph & self-supervised-learning-based recommendation.
☆48Updated 2 years ago
Related projects: ⓘ
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆50Updated 2 years ago
- Code for the WWW'22 paper "MCL: Mixed-Centric Loss for Collaborative Filtering"☆11Updated 2 years ago
- This is the official code for WWW 2021 paper "Session-aware Linear Item-Item Models for Session-based Recommendation"☆33Updated last year
- Official code for the paper "Leveraging the Metapath and Entity Aware Subgraphs for Recommendation"☆40Updated 2 years ago
- Repo for paper Basket Recommendation with Multi-Intent Translation Graph Neural Network☆16Updated 3 years ago
- [ WSDM '22 ] On Sampling Collaborative Filtering Datasets☆20Updated 2 years ago
- This is the official code for the WSDM 2022 paper: 'S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks'.☆33Updated last year
- Post Processing Explanations Paths in Path Reasoning Recommender Systems with Knowledge Graphs☆29Updated 10 months ago
- [SIGIR 2020] Python implementation for "TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation"☆52Updated 4 months ago
- Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms☆43Updated 4 years ago
- This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.☆45Updated last year
- Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)☆19Updated 2 years ago
- codes for SIGIR paper Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning☆9Updated 3 years ago
- ☆12Updated 3 years ago
- ☆18Updated this week
- Contrastive Learning for Cold-start Recommendation☆63Updated 2 years ago
- Official code of "Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering" (2022 NeurIPS)☆22Updated last year
- Full papers related to the Recommender System from SIGIR 2020☆22Updated 4 years ago
- (RecSys 2020) Adaptively Distilled Exemplar Replay towards Continual Learning for Session-based Recommendation [Best Short Paper]☆31Updated 4 months ago
- "GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation", SIGIR 2020☆20Updated 4 years ago
- The implementation of "Cross-Domain Recommendation via Preference Propagation GraphNet“, Cheng Zhao, Chenliang Li, Cong Fu, https://doi.o…☆25Updated last year
- Using SR-GNN to implement "NISER: Normalized Item and Session Representations to Handle Popularity Bias"☆25Updated 3 years ago
- cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets☆42Updated 5 months ago
- Cafe: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation☆31Updated 3 years ago
- A curator of Sequential Recommendation algorithms☆20Updated 3 years ago
- Benchmarking of Session-based Recommendation Approaches☆30Updated 3 years ago
- This is a pytorch (>=1.3.0) implementation of RepeatNet☆35Updated 4 years ago
- Codes for SIGIR'22 Paper 'On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation'☆12Updated last year
- ☆45Updated last month
- DE-RRD: A Knowledge Distillation Framework for Recommender System (CIKM'20)☆28Updated last year