Sungwon-Han / DualFairLinks
☆14Updated 2 years ago
Alternatives and similar repositories for DualFair
Users that are interested in DualFair are comparing it to the libraries listed below
Sorting:
- Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)☆16Updated last year
- Graph Trend Filtering Networks for Recommendations, SIGIR'2022☆25Updated 3 years ago
- ☆40Updated last year
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆27Updated 2 years ago
- Contrastive Learning with Model Augmentation☆17Updated 2 years ago
- (KDD'23) Official codes of "Path-Specific Counterfactual Fairness for Recommender System (PSF-VAE)".☆11Updated last year
- ☆19Updated last year
- [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"☆42Updated 2 years ago
- Code for the WWW'22 paper "MCL: Mixed-Centric Loss for Collaborative Filtering"☆12Updated 3 years ago
- Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…☆29Updated 2 years ago
- Contrastive Graph Structure Learning via Information Bottleneck for Recommendation☆29Updated 2 years ago
- Official code of "Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering" (2022 NeurIPS)☆22Updated 2 years ago
- Topology Distillation for Recommender System (KDD'21)☆13Updated 3 years ago
- Official code of "Invariant Collaborative Filtering to Popularity Distribution Shift" (2023 WWW)☆20Updated last year
- URLs to each movie from the MovieLens-1M data set☆10Updated 5 years ago
- Codes for SIGIR'22 Paper 'On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation'☆13Updated 2 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆71Updated 3 years ago
- Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems☆15Updated 5 years ago
- Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.☆21Updated 4 years ago
- Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"☆23Updated 2 years ago
- The code of paper "Adversarial Label-Flipping Attack and Defense for Graph Neural Networks" (ICDM 2020)☆18Updated 4 years ago
- [WWW2022] Geometric Graph Representation Learning via Maximizing Rate Reduction☆26Updated 3 years ago
- ☆57Updated last year
- [WWW 2023] Official code of "Adap-$\tau$: Adaptively Modulating Embedding Magnitude for Recommendation"☆29Updated last year
- Code for CIKM 2021 best short paper nomination "Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation" https…☆16Updated 3 years ago
- codes for SIGIR paper Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning☆9Updated 4 years ago
- The source code for BatchSampler that accepted in KDD'23☆18Updated last year
- [ WSDM '22 ] On Sampling Collaborative Filtering Datasets☆20Updated 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☆25Updated 2 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Updated 4 years ago