qkrdmsghk / GOODHSEView external linksLinks
[CVPR 2024] Improving out-of-distribution generalization in graphs via hierarchical semantic environments
☆13Apr 17, 2025Updated 9 months ago
Alternatives and similar repositories for GOODHSE
Users that are interested in GOODHSE are comparing it to the libraries listed below
Sorting:
- source code of AAAI 2024 paper "Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization".☆18Apr 29, 2024Updated last year
- The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS…☆22Nov 4, 2024Updated last year
- [NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"☆11Nov 3, 2023Updated 2 years ago
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆25Oct 22, 2023Updated 2 years ago
- [WWW2024 Oral] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆27Oct 23, 2024Updated last year
- [ICML2024] Learning Divergence Fields for Shift-Robust Graph Representations☆11Aug 15, 2024Updated last year
- [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?☆15Jun 27, 2024Updated last year
- Multi-omics biomarker discovery tool exploiting a gene-gene interaction network☆17Apr 9, 2024Updated last year
- Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)☆23Jan 26, 2023Updated 3 years ago
- [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?☆22Aug 25, 2024Updated last year
- ☆83Oct 28, 2024Updated last year
- [AAAI 2022] Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification☆32Nov 25, 2024Updated last year
- ☆10Feb 4, 2021Updated 5 years ago
- Meta-Reinforcement Learning with Policy Residual Representation☆11Aug 15, 2019Updated 6 years ago
- The official code implementation for Chromoformer in PyTorch. (Lee et al., Nature Communications. 2022)☆37Aug 16, 2023Updated 2 years ago
- Single-Source Domain Generalization for Bearing Fault Diagnosis Using Feature-Augmented Adaptive Neuro-Fuzzy Inference System☆11Apr 13, 2024Updated last year
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆97Nov 16, 2023Updated 2 years ago
- Code and paper repository for the ICML paper "Learning population level diffusions with generative recurrent networks"☆11May 26, 2016Updated 9 years ago
- A python implementation of discrete optimal transport with a Tsallis entropy regularization.☆14Oct 23, 2023Updated 2 years ago
- a robust metric (robust fidelity) for XGNN (ICLR24)☆12Jun 3, 2025Updated 8 months ago
- WavSpA: Wavelet Space Attention for Enhancing Transformer's Long Sequence Learning☆12Feb 24, 2024Updated last year
- Codebase for the EMNLP 2021 paper "HittER: Hierarchical Transformers for Knowledge Graph Embeddings".☆12Nov 1, 2021Updated 4 years ago
- A Quasi-Wasserstein Loss for Learning Graph Neural Networks (QW loss)☆10May 20, 2024Updated last year
- The source code of "Empowering Language Understanding with Counterfactual Reasoning" (ACL'21)☆11Sep 3, 2021Updated 4 years ago
- Implementation codes for NeurIPS23 paper "Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts"☆13Mar 19, 2024Updated last year
- Wide Kernel Time-Frequency Fusion （WTFF）--Multi-Domain Time-Frequency Fusion Feature Contrastive Learning for Machinery Fault Diagnosis☆13Mar 21, 2025Updated 10 months ago
- ☆12Oct 5, 2022Updated 3 years ago
- Official PyTorch Implementation of ADKF-IFT from Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction …☆10Jun 5, 2023Updated 2 years ago
- The code of ICLR 2024 paper: Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective☆14May 30, 2024Updated last year
- [MSSP 2022] A domain generalization network combing invariance and specificity towards real-time intelligent fault diagnosis☆15Apr 1, 2024Updated last year
- Code for the paper "SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks"☆12Jan 17, 2023Updated 3 years ago
- Understanding the paper "Principles of Riemannian Geometry in Neural Networks" by Michael Hauser and Asok Ray☆11May 24, 2023Updated 2 years ago
- Papers about out-of-distribution generalization on graphs.☆168Jun 5, 2023Updated 2 years ago
- The paper "Deep Graph Level Anomaly Detection with Contrastive Learning" has been accepted by Scientific Reports Journal.☆12Feb 10, 2023Updated 3 years ago
- ☆15May 11, 2024Updated last year
- The code for "MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction"☆14Feb 7, 2025Updated last year
- This library summarizes the sate-of-the-art explainable intelligent fault diagnosis methods.☆19Nov 23, 2025Updated 2 months ago
- ☆11Mar 20, 2023Updated 2 years ago
- A study of the downstream instability of word embeddings☆12Aug 23, 2022Updated 3 years ago