CRIPAC-DIG / GraphCTRLinks
This repo includes some graph-based CTR prediction models and other representative baselines.
☆67Updated last year
Alternatives and similar repositories for GraphCTR
Users that are interested in GraphCTR are comparing it to the libraries listed below
Sorting:
- The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)☆78Updated 2 years ago
- [CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"☆83Updated last year
- Detecting Beneficial Feature Interactions for Recommender Systems, AAAI 2021☆34Updated 3 years ago
- Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Explorin…☆78Updated last year
- ☆174Updated 3 years ago
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆43Updated 5 years ago
- Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"☆35Updated 2 years ago
- Graph Meta Embedding (GME) for cold-start ads in CTR/CVR prediction☆37Updated 3 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
- ☆26Updated 4 years ago
- cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets☆44Updated last year
- This is the repository for our WSDM 2020 publication: Interpretable Click-through Rate Prediction through Hierarchical Attention☆40Updated 5 years ago
- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆106Updated 3 years ago
- Source code for ACL 2020 paper “Graph Neural News Recommendation with Unsupervised Preference Disentanglement”☆61Updated 4 years ago
- A toy implementation of Neural Graph Collaborative filtering☆87Updated 5 years ago
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆51Updated 3 years ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆107Updated 2 years ago
- ☆105Updated last month
- This repository contains recent research papers, datasets, and source codes (if any) for Group Recommendation☆52Updated last year
- TensorFlow implementation for paper Time Interval Aware Self-Attention for Sequential Recommendation.☆126Updated 4 years ago
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆103Updated 2 years ago
- A reimplementation of SRGNN.☆50Updated 4 years ago
- Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"☆125Updated 2 years ago
- This is a repo containing recent papers related to temporal (sequential) recommender system☆63Updated 4 years ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆76Updated 3 years ago
- The implementation of SIGIR 2020 paper "CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network“, Cheng Zhao,…☆46Updated 4 years ago
- The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)☆155Updated last year
- An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos☆94Updated 5 months ago
- https://github.com/JiachengLi1995/TiSASRec in PyTorch☆93Updated 2 months ago
- Session-based Recommendation☆64Updated last year