Melinda315 / MARS
☆15Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for MARS
- Code for our WWW'2020 paper "Efficient Neural Interaction Function Search for Collaborative Filtering"☆25Updated 4 years ago
- code of Generalized Delayed Feedback Model with Post-Click Information in Recommender Systems, NeurIPS 2022☆10Updated last year
- ☆12Updated 3 years ago
- [KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks☆29Updated 3 years ago
- Experimental codes for the paper 'How to Learn Item Representation for Cold-Start Multimedia Recommendation?'☆17Updated 10 months ago
- code for KDD paper Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation☆22Updated 4 years ago
- ☆12Updated 2 years ago
- ☆9Updated 2 years ago
- This repository contains implementation of DHNE : Network Representation Learning Method for Dynamic Heterogeneous Network.☆10Updated 5 years ago
- Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)☆14Updated 10 months ago
- Code for KDD'22 "Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank".☆9Updated 2 years ago
- Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)☆26Updated last year
- The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".☆20Updated 4 years ago
- [WWW 2023] Official code of "Adap-$\tau$: Adaptively Modulating Embedding Magnitude for Recommendation"☆28Updated 10 months ago
- Implementation of meta-tail2vec published in CIKM 2020 paper "Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks".☆13Updated 3 years ago
- ruizhang-ai / HIRS-Detecting_Arbitrary_Order_Beneficial_Feature_Interactions_for_Recommender_SystemsDetecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems, KDD 2022☆24Updated 2 years ago
- Codes for SIGIR'22 Paper 'On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation'☆12Updated last year
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆35Updated 2 years ago
- Discrete Factorization Machines☆10Updated 6 years ago
- Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).☆15Updated 4 years ago
- The implementation of our ICDM 2019 paper "Relation Structure-Aware Heterogeneous Graph Neural Network" RSHN.☆18Updated 4 years ago
- Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"☆48Updated 4 years ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 3 years ago
- This is the implementation of our paper: Ziwei Zhu, Xia Hu, and James Caverlee. 2018. Fairness-Aware Tensor-Based Recommendation. In The …☆10Updated 5 years ago
- Graph Trend Filtering Networks for Recommendations, SIGIR'2022☆26Updated 2 years ago
- Variational Graph Convolutional Networks☆21Updated 4 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆30Updated 2 years ago
- Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems☆15Updated 4 years ago
- ☆10Updated 4 years ago
- This is a pytorch implementation of our paper: "Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation"☆25Updated 8 months ago