SeongKu-Kang / Topology_Distillation_KDD21
Topology Distillation for Recommender System (KDD'21)
☆11Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for Topology_Distillation_KDD21
- ☆11Updated 2 years ago
- ☆11Updated last year
- DE-RRD: A Knowledge Distillation Framework for Recommender System (CIKM'20)☆28Updated last year
- Official PyTorch implementation Source code for MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation, acce…☆31Updated 7 months ago
- ☆14Updated last year
- 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
- Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)☆26Updated last year
- PyTorch implementations of collaborative filtering methods with implicit feedback☆9Updated 4 years ago
- Distillation from Heterogeneous Models for Top-K Recommendation (WWW'23)☆18Updated 5 months ago
- Contrastive Learning with Model Augmentation☆17Updated 2 years ago
- Graph Trend Filtering Networks for Recommendations, SIGIR'2022☆26Updated 2 years ago
- AutoLossGen: Automatic Loss Function Generation for Recommender Systems☆22Updated 2 years ago
- Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)☆14Updated 10 months ago
- ACM MM'23: A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation☆18Updated last year
- Official code of "Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering" (2022 NeurIPS)☆22Updated last year
- [WWW'23] "SimRec: Graph-less Collaborative Filtering"☆33Updated last year
- Contrastive Graph Structure Learning via Information Bottleneck for Recommendation☆27Updated 2 years ago
- Experimental codes for the paper 'How to Learn Item Representation for Cold-Start Multimedia Recommendation?'☆17Updated 10 months ago
- [WWW 2023] Official code of "Adap-$\tau$: Adaptively Modulating Embedding Magnitude for Recommendation"☆28Updated 10 months ago
- Explainable recommendation via interpretable feature mapping☆18Updated 4 years ago
- Cafe: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation☆32Updated 3 years ago
- Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')☆23Updated 2 years ago
- Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)☆20Updated 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
- Fairrec: fairness-aware news recommendation with decomposed adversarial learning☆15Updated 3 years ago
- Bootstrapping User and Item Representations for One-Class Collaborative Filtering☆29Updated 3 years ago
- [KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks☆29Updated 3 years ago
- [CIKM'2023] "GTE: How Expressive are Graph Neural Networks for Recommendation?"☆20Updated last year
- Code for the WWW'22 paper "MCL: Mixed-Centric Loss for Collaborative Filtering"☆12Updated 2 years ago
- Counterfactual Explainable Recommendation☆48Updated 2 years ago