junkangwu / ADNCELinks
[NeurIPS2023] Official code of "Understanding Contrastive Learning via Distributionally Robust Optimization"
☆41Updated 2 years ago
Alternatives and similar repositories for ADNCE
Users that are interested in ADNCE are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆30Updated 6 months ago
- [WWW2022] Geometric Graph Representation Learning via Maximizing Rate Reduction☆26Updated 3 years ago
- Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "☆35Updated 2 years ago
- [ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"☆46Updated 3 years ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆64Updated 2 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- Contrastive Graph Structure Learning via Information Bottleneck for Recommendation☆30Updated 3 years ago
- The source code for BatchSampler that accepted in KDD'23☆19Updated 2 years ago
- The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"☆84Updated 2 years ago
- Pytorch implementation of ICML-2024 "Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching"☆26Updated last year
- Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022☆37Updated 3 years ago
- Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation☆34Updated last year
- Official website for "Continual Learning on Graphs: Challenges, Solutions, and Opportunities"☆51Updated last year
- An Open and Unified Benchmark for Graph Condensation (submitted to NeurIPS 2024 Datasets and Benchmarks Track)☆19Updated last year
- ☆12Updated 3 years ago
- [WWW 2023] Official code of "Adap-$\tau$: Adaptively Modulating Embedding Magnitude for Recommendation"☆29Updated last year
- MMRA: Predicting Micro-video Popularity via Multi-modal Retrieval Augmentation, ACM SIGIR Conference on Research and Development in Infor…☆21Updated 6 months ago
- An official PyTorch implementation of "Certifiably Robust Graph Contrastive Learning" (NeurIPS 2023)☆11Updated last year
- ACM MM'23: A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation☆34Updated 2 years ago
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆36Updated 2 years ago
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆25Updated 2 years ago
- DualGNN: Dual Graph Neural Network for Micro-video Recommendation☆16Updated 4 years ago
- ☆13Updated 9 months ago
- ☆11Updated 5 years ago
- [RelKD'24] Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models☆119Updated 7 months ago
- [ICLR 2023 Oral] Towards Open Temporal Graph Neural Networks☆34Updated 2 years ago
- Adapting Precomputed Features for Efficient Graph Condensation (ICML 2025)☆47Updated 5 months ago
- Efficient Multimodal Foundation Model Adaptation for Recommendation☆45Updated last month
- Non-IID Transfer Learning on Graphs☆13Updated 2 years ago
- the code of MoG☆19Updated last year