CRIPAC-DIG / GraphCTR
This repo includes some graph-based CTR prediction models and other representative baselines.
☆65Updated last year
Alternatives and similar repositories for GraphCTR:
Users that are interested in GraphCTR are comparing it to the libraries listed below
- Detecting Beneficial Feature Interactions for Recommender Systems, AAAI 2021☆34Updated 3 years ago
- The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)☆75Updated 2 years ago
- [CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"☆83Updated last year
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆76Updated 3 years ago
- cross-domain recommendation,transfer learning,pre-training,self-supervise learning papers and datasets☆43Updated last year
- Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Explorin…☆78Updated last year
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆107Updated 2 years ago
- Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"☆35Updated 2 years ago
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆104Updated last year
- ☆34Updated 4 years ago
- GMCF: Neural Graph Matching based Collaborative Filtering, SIGIR 2021☆54Updated 3 years ago
- An Efficient and Unified Benchmark for GNN-based Recommendation.☆79Updated last year
- Source code for ACL 2020 paper “Graph Neural News Recommendation with Unsupervised Preference Disentanglement”☆61Updated 4 years ago
- ☆103Updated 2 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated last year
- MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021☆97Updated 2 years ago
- Handling Information Loss of Graph Neural Networks for Session-based Recommendation☆67Updated 3 years ago
- ☆174Updated 3 years ago
- WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"☆58Updated 3 years ago
- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆104Updated 3 years ago
- DE-RRD: A Knowledge Distillation Framework for Recommender System (CIKM'20)☆29Updated 2 years ago
- Contrastive Learning for Cold-start Recommendation☆66Updated 3 years ago
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆51Updated 3 years ago
- A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems☆65Updated 4 years ago
- [TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recomm…☆82Updated last year
- ☆47Updated 7 months ago
- Contrastive Self-supervised Sequential Recommendation with Robust Augmentation☆82Updated 2 years ago
- https://github.com/JiachengLi1995/TiSASRec in PyTorch☆89Updated 3 weeks ago
- Session-based Recommendation