yuanyige / pde-addLinks
[AAAI 2024] PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion
☆24Updated last year
Alternatives and similar repositories for pde-add
Users that are interested in pde-add are comparing it to the libraries listed below
Sorting:
- [ICLR 2024 Spotlight]☆21Updated last year
- Official website for "Continual Learning on Graphs: Challenges, Solutions, and Opportunities"☆51Updated last year
- [NeurIPS 2024] Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling☆23Updated 3 months ago
- Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "☆35Updated 2 years ago
- Official implementation of our ICML 2024 paper "UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework…☆32Updated 5 months ago
- ☆14Updated 2 months ago
- clone/download repositories from https://anonymous.4open.science/☆86Updated 3 years ago
- ☆10Updated 2 years ago
- The code for the paper "[ICLR'24]MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process"☆56Updated last year
- The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)☆31Updated last year
- Source code of KDD'22 paper: Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting☆30Updated 2 years ago
- 🕹️The toy examples of Kolmogorov-Arnold Network (Get Started Quickly)☆76Updated last year
- [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation☆39Updated last year
- [NeurIPS 2024 Oral] Repository of the CMuST paper: "Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework"☆15Updated 7 months ago
- GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"☆59Updated 2 years ago
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆24Updated last year
- Official implement of 'Advancing Graph Convolutional Networks via General Spectral Wavelets'☆33Updated 3 months ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- ☆25Updated 2 years ago
- The official implementation for "Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks" which is accepted to N…☆21Updated last year
- ☆36Updated 3 years ago
- Code for “ACE-HGNN: Adaptive Curvature ExplorationHyperbolic Graph Neural Network”☆17Updated 3 years ago
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆30Updated 4 months ago
- Neural Manifold Operators (KDD 2024)☆23Updated 10 months ago
- ☆31Updated last year
- ☆36Updated 6 months ago
- A diffusion-based framework for spatio-temporal point processes☆74Updated last year
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆90Updated last year
- [CIKM'25] Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation☆36Updated last month
- State Space Models☆70Updated last year