yuan-pku / Distilling-Structured-Knowledge-into-Embeddings-for-Explainable-and-Accurate-RecommendationLinks
☆16Updated 5 years ago
Alternatives and similar repositories for Distilling-Structured-Knowledge-into-Embeddings-for-Explainable-and-Accurate-Recommendation
Users that are interested in Distilling-Structured-Knowledge-into-Embeddings-for-Explainable-and-Accurate-Recommendation are comparing it to the libraries listed below
Sorting:
- DE-RRD: A Knowledge Distillation Framework for Recommender System (CIKM'20)☆30Updated 2 years ago
- Counterfactual Explainable Recommendation☆49Updated 3 years ago
- Bidirectional Distillation for Top-K Recommender System (WWW 2021)☆14Updated 3 years ago
- Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Explorin…☆78Updated 2 years ago
- Dataset citeulike-a for 'Collaborative Topic Regression with Social Regularization' (CTRSR)☆45Updated 4 years ago
- Cafe: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation☆34Updated 4 years ago
- ☆68Updated 5 years ago
- Handling Information Loss of Graph Neural Networks for Session-based Recommendation☆67Updated 3 years ago
- [TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recomm…☆83Updated last year
- code for ‘Towards Long-term Fairness in Recommendation’☆23Updated 2 years ago
- User-oriented Fairness in Recommendation☆28Updated 3 years ago
- Code for Next-item Recommendation with Sequential Hypergraph (SIGIR2020)☆59Updated 4 years ago
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆105Updated 2 years ago
- An unofficial pytorch implementation of MELU☆46Updated last year
- Disentagnled Graph Collaborative Filtering, SIGIR2020☆141Updated 5 years ago
- SIGIR'21, EXTRA: Explanation Ranking Datasets for Explainable Recommendation☆31Updated 7 months ago
- A Generic Network Compression Framework for Sequential Recommender Systems☆19Updated 5 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆74Updated 3 years ago
- KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering☆68Updated 2 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated last year
- cross-domain recommendation,transfer learning,pre-training,self-supervise learning papers and datasets☆44Updated last year
- CIKM'20, Generate Neural Template Explanations for Recommendation☆23Updated 7 months ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆76Updated 4 years ago
- Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"☆35Updated 2 years ago
- The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation☆53Updated 5 years ago
- [ICDM 2020] Python implementation for "Dynamic Graph Collaborative Filtering."☆45Updated last year
- [ SIGIR '20 ] How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements☆55Updated 3 years ago
- A quick guide to Sentires: Phrase-level Sentiment Analysis toolkit, SIGIR'14☆37Updated 7 months ago
- ☆41Updated 6 years ago
- Incorporating User Micro-behaviors and Item Knowledge 59 60 3 into Multi-task Learning for Session-based Recommendation☆45Updated 5 years ago