This repo includes some graph-based CTR prediction models and other representative baselines.
☆70Apr 23, 2024Updated last year
Alternatives and similar repositories for GraphCTR
Users that are interested in GraphCTR are comparing it to the libraries listed below
Sorting:
- [CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"☆87Apr 24, 2024Updated last year
- Detecting Beneficial Feature Interactions for Recommender Systems, AAAI 2021☆33Aug 13, 2021Updated 4 years ago
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆388Nov 8, 2024Updated last year
- Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)☆27Jan 27, 2023Updated 3 years ago
- The Source Code of FRNet☆43Nov 7, 2022Updated 3 years ago
- ☆16Jun 3, 2025Updated 9 months ago
- Graph Meta Embedding (GME) for cold-start ads in CTR/CVR prediction☆37Aug 9, 2021Updated 4 years ago
- Presented as tutorial at the Second Learning on Graphs Conference (LoG 2023)☆17Dec 2, 2023Updated 2 years ago
- ☆41Feb 6, 2021Updated 5 years ago
- The implement of LLMTreeRec☆14Dec 9, 2024Updated last year
- A PyTorch implementation of Determinantal Point Process Likelihoods for Sequential Recommendation☆12Dec 9, 2024Updated last year
- A simple configurable bot for sending arXiv article alert by mail☆26Jun 14, 2022Updated 3 years ago
- ☆22May 18, 2022Updated 3 years ago
- ☆20Oct 13, 2020Updated 5 years ago
- ☆27May 11, 2023Updated 2 years ago
- Implementaion of the WWW paper Implicit User Awareness Modeling via Candidate Items for CTR Prediction in Search Ads☆17Apr 27, 2022Updated 3 years ago
- WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"☆61Mar 16, 2022Updated 4 years ago
- Content-aware Neural Hashing for Cold-start Recommendation. SIGIR 2020☆19Jul 31, 2020Updated 5 years ago
- A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems☆66Jan 21, 2021Updated 5 years ago
- An implementation of RaFM. Xiaoshuang Chen, Yin Zheng, Jiaxiang Wang, et al. "RaFM: Rank-Aware Factorization Machines"☆12May 11, 2019Updated 6 years ago
- [PR 2021] Code for "GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction"☆12Aug 25, 2021Updated 4 years ago
- Machine Learning with Graphs (CS224W) project.☆13Dec 16, 2021Updated 4 years ago
- ☆307Jun 25, 2022Updated 3 years ago
- 利用图神经网络进行CTR预估☆15Nov 22, 2019Updated 6 years ago
- GMCF: Neural Graph Matching based Collaborative Filtering, SIGIR 2021☆53Dec 18, 2021Updated 4 years ago
- Dataset and code for “Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction”☆16Aug 23, 2021Updated 4 years ago
- This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.☆46Jun 15, 2023Updated 2 years ago
- A framework for Ranked List Truncation, including the implementation of multiple existing deep models, such as BiCut、Choopy and AttnCut. …☆14May 7, 2022Updated 3 years ago
- ☆33Dec 13, 2020Updated 5 years ago
- Jarvis is a toolbox built on top of TensorFlow2.0 that allows developers and researchers to easily build neural networks in TensorFlow, p…☆37Oct 15, 2020Updated 5 years ago
- Some baselines for PCIC2021 Track 2: Causal Inference and Recommendation☆17May 29, 2023Updated 2 years ago
- Reproduce KGAT using DGL☆35Dec 17, 2019Updated 6 years ago
- Source code for GIFT (CIKM 22)☆12Oct 23, 2022Updated 3 years ago
- Code for the WWW'21 paper "HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering"☆53Sep 16, 2021Updated 4 years ago
- Recurrent Poisson Factorization☆17May 11, 2018Updated 7 years ago
- LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.☆103Oct 30, 2023Updated 2 years ago
- ☆15Jul 24, 2024Updated last year
- PyTorch implementation of Interactive Hypergraph Neural Network for Personalized Product Search (IHGNN)☆24Feb 27, 2022Updated 4 years ago
- ☆21Nov 9, 2021Updated 4 years ago