shantanu95 / exposure-bias-link-rec
Code for the paper "Correcting Exposure Bias for Link Recommendation (ICML 2021)"
☆7Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for exposure-bias-link-rec
- ☆38Updated 11 months ago
- [CIKM'2023] "GTE: How Expressive are Graph Neural Networks for Recommendation?"☆20Updated last year
- Graph Trend Filtering Networks for Recommendations, SIGIR'2022☆26Updated 2 years ago
- Contrastive Learning with Model Augmentation☆17Updated 2 years ago
- Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)☆14Updated 10 months ago
- Topology Distillation for Recommender System (KDD'21)☆11Updated 3 years ago
- ☆14Updated last year
- Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)☆26Updated last year
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆30Updated 2 years ago
- This is a pytorch implementation of our paper: "Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation"☆25Updated 8 months ago
- A unified framework for recommender system attacking☆27Updated 7 months ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆47Updated 2 years ago
- KDD 2022 Invariant Preference Learning for General Debiasing in Recommendation☆21Updated 2 years ago
- Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems☆15Updated 4 years ago
- Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)☆34Updated 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
- Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…☆28Updated 2 years ago
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆42Updated 3 years ago
- Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation, WWW22☆17Updated 2 years ago
- Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022☆32Updated 2 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆37Updated 4 years ago
- Official PyTorch implementation Source code for MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation, acce…☆31Updated 7 months ago
- ☆16Updated last year
- Implementation of meta-tail2vec published in CIKM 2020 paper "Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks".☆13Updated 3 years ago
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆26Updated 2 years ago
- [KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks☆29Updated 3 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆67Updated 2 years ago
- Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.☆27Updated 3 years ago
- [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"☆41Updated 2 years ago