yifanzhang-pro / Kernel-InfoNCE
Official implementation of ICLR 2024 paper "Contrastive Learning Is Spectral Clustering On Similarity Graph" (https://arxiv.org/abs/2303.15103)
☆18Updated 5 months ago
Alternatives and similar repositories for Kernel-InfoNCE:
Users that are interested in Kernel-InfoNCE are comparing it to the libraries listed below
- Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "☆34Updated last year
- Official implementation of ICML 2024 paper "Matrix Information Theory for Self-supervised Learning" (https://arxiv.org/abs/2305.17326)☆27Updated 5 months ago
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆29Updated last year
- Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay☆42Updated 3 months ago
- The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)☆22Updated 7 months ago
- Official Pytorch implementation of NeuralWalker☆28Updated 9 months ago
- Deformable Graph Convolutional Networks (Author's PyTorch implementation for the AAAI 2022 paper)☆27Updated 2 years ago
- The code of “Prototypical Graph Contrastive Learning”. [TNNLS 2022]☆24Updated 2 years ago
- Code for TNNLS paper "Beyond Homophily and Homogeneity Assumption: Relation-based Frequency Adaptive Graph Neural Networks"☆14Updated last year
- Active Test-Time Adaptation: Theoretical Analyses and An Algorithm [ICLR 2024]☆20Updated 4 months ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆43Updated 6 months ago
- Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning☆40Updated 10 months ago
- "Graph Convolutions Enrich the Self-Attention in Transformers!" NeurIPS 2024☆16Updated 2 months ago
- [AAAI 2024] PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion☆22Updated last year
- The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS…☆19Updated 4 months ago
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆21Updated last year
- [AAAI2023 Oral] The official implementation of "Hierarchical Contrastive Learning for Temporal Point Processes"☆22Updated 2 months ago
- [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?☆21Updated 6 months ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆52Updated 11 months ago
- [NeurIPS'23] Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. Haotao Wang, Ziyu Jiang, Yuning Y…☆39Updated last year
- Pytorch implementation of ICML-2024 "Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching"☆23Updated 8 months ago
- ☆29Updated 4 months ago
- Official website for "Continual Learning on Graphs: Challenges, Solutions, and Opportunities"☆46Updated last year
- State Space Models☆66Updated 10 months ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆93Updated last year
- [NeurIPS 2024, spotlight] Scaling Out-of-Distribution Detection for Multiple Modalities☆53Updated last month
- ☆17Updated last year
- The source code for Adaptive Kernel Graph Neural Network at AAAI2022☆14Updated 3 years ago
- Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"☆15Updated 11 months ago
- [NeurIPS 2024 Spotlight] Code for the paper "Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts"☆34Updated 4 months ago