ZhichenZhao / pytorch-mmoe
☆26Updated 4 years ago
Alternatives and similar repositories for pytorch-mmoe:
Users that are interested in pytorch-mmoe are comparing it to the libraries listed below
- GitHub Repository for KDD 2022 paper "Saliency-Regularized Deep Multi-Task Learning"☆12Updated last year
- PyTorch Implementation of the Multi-gate Mixture-of-Experts with Exclusivity (MMoEEx)☆30Updated 3 years ago
- Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations part of Advances in Neural Information Processing Syst…☆11Updated last year
- WSDM2022 Challenge - Large scale temporal graph link prediction☆37Updated 3 years ago
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆80Updated last year
- PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)☆29Updated 2 years ago
- MATN, SIGIR 2020☆21Updated 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☆24Updated 2 years ago
- [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…☆67Updated 3 years ago
- AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. AAAI, 2023.☆24Updated last year
- Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)☆15Updated last year
- Contrastive Graph Structure Learning via Information Bottleneck for Recommendation☆27Updated 2 years ago
- GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"☆56Updated last year
- Code implementation of "HAMUR: Hyper Adapter for Multi-Domain Recommendation" in CIKM‘2023☆22Updated last year
- Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.☆55Updated 3 years ago
- [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"☆41Updated 2 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆73Updated 2 years ago
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆21Updated last year
- Official code implementation for ICDE 23 paper MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation☆33Updated last year
- A collection of graph contrastive learning methods.☆18Updated 2 years ago
- ☆22Updated last year
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆27Updated 7 months ago
- Code for the CIKM2022 Paper "Explanation Guided Contrastive Learning for Sequential Recommendation"☆28Updated 2 years ago
- [ICLR 2022] Graph-Relational Domain Adaptation☆43Updated 9 months ago
- The code of CL4CTR☆49Updated last year
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Updated 2 years ago
- DualGNN: Dual Graph Neural Network for Micro-video Recommendation☆13Updated 3 years ago
- The code and data of SIGIR21 paper "Package Recommendation with Intra- and Inter-Package Attention Networks".☆12Updated 3 years ago
- DGL implementation of GRAND(Graph Random Neural Network, NeurIPS 2020)☆18Updated 3 years ago
- ☆23Updated 2 years ago