KounianhuaDu / PETLinks
☆23Updated 2 years ago
Alternatives and similar repositories for PET
Users that are interested in PET are comparing it to the libraries listed below
Sorting:
- This is the source code of PFRec☆14Updated 3 years ago
- A benchmark of meaningful graph datasets with tabular node features☆14Updated 2 months ago
- [NeurIPS'24 Spotlight] The official implementation code of LLM-ESR.☆45Updated last year
- Official code implementation for ICDE 23 paper MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation☆38Updated 2 years ago
- [WWW'23] "SimRec: Graph-less Collaborative Filtering"☆31Updated 2 years ago
- Official PyTorch implementation Source code for MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation, acce…☆41Updated last year
- ☆45Updated last year
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆97Updated 2 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 3 years ago
- [CIKM'24] Self-Supervision Improves Diffusion Models for Tabular Data Imputation☆16Updated last year
- Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)☆19Updated 2 years ago
- [ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角出发10行代码改善类别不平衡节点分类☆26Updated last year
- The source code for WWW 2022 Paper "Filter-enhanced MLP is All You Need for Sequential Recommendation"☆50Updated 3 years ago
- An Open and Unified Benchmark for Graph Condensation (submitted to NeurIPS 2024 Datasets and Benchmarks Track)☆20Updated last year
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆120Updated 2 years ago
- The code for "Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation"☆44Updated 2 years ago
- GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"☆60Updated 2 years ago
- ☆22Updated 9 months ago
- The official pytorch implementation of Propagation_then_Training for graph (https://arxiv.org/abs/2010.12408)☆26Updated 4 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated 2 years ago
- Contrastive Graph Structure Learning via Information Bottleneck for Recommendation☆30Updated 3 years ago
- [WWW 2023] Official code of "Adap-$\tau$: Adaptively Modulating Embedding Magnitude for Recommendation"☆29Updated 2 years ago
- TheWebConf'24 full paper - "Linear-Time Graph Neural Networks for Scalable Recommendations"☆21Updated 5 months ago
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Updated 2 years ago
- ☆19Updated 3 years ago
- [CIKM '24] Implementation of "Multi-Behavior Generative Recommendation"☆50Updated last year
- Code for CIKM 2021 best short paper nomination "Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation" https…☆16Updated 4 years ago
- (ICLR 2022) Discovering Invariant Rationales for Graph Neural Networks☆131Updated 2 years ago
- ACM MM'23: A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation☆35Updated 2 years ago
- [CIKM'23] The official implementation code of DiffuASR.☆41Updated last year