bozhenhhu / Deep-Learning-Models-for-Defect-DetectionLinks
some methods about automated thermography defects detection
☆21Updated last year
Alternatives and similar repositories for Deep-Learning-Models-for-Defect-Detection
Users that are interested in Deep-Learning-Models-for-Defect-Detection 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".☆17Updated last year
- Models and benchmarks for protein classification☆10Updated 2 years ago
- ☆36Updated 3 years ago
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆24Updated last year
- Convex Nonnegative Matrix Factorization with Adaptive Graph for Unsupervised Feature Selection☆16Updated 2 years ago
- Official PyTorch code for ICCV 2023 paper 'Learning Adaptive Neighborhoods for Graph Neural Networks'.☆20Updated last year
- MMGCN:Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease Association Prediction☆20Updated 4 years ago
- KDD 2025: 📄"Predicting the Dynamics of Complex Systems via Multiscale Diffusion Autoencoder"☆16Updated 3 months ago
- [KDD'23] Source codes of "Semi-Supervised Graph Imbalanced Regression"☆21Updated 3 months ago
- ☆31Updated last year
- 自制的爱斯维尔期刊的LaTeX投稿工作流程模板☆20Updated last year
- [ICML 2025] I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts.☆32Updated 3 months ago
- Code for IJCAI'24 paper: Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders☆12Updated last year
- ☆54Updated 6 years ago
- Implementation of GraphKan with torch geometrics and its application on signal classification☆66Updated last year
- The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)☆31Updated last year
- [KDD 2024] Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective☆16Updated last year
- ☆35Updated 5 months ago
- 因果学习、不确定性估计相关资源(论文、代码、数据、博客等)☆14Updated last year
- Image classification using Graph Neural Networks (GNNs) with MNIST dataset☆44Updated 2 years ago
- ☆12Updated last year
- [IJCAI 2023] Graph Propagation Transformer for Graph Representation Learning☆50Updated last year
- The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.☆35Updated last year
- ☆10Updated last year
- The implementation for DropMessage.☆37Updated 2 years ago
- This code reproduces the results presented in the paper "DAEMA: Denoising Autoencoder with Mask Attention" accepted at the ICANN 2021 con…☆14Updated 4 years ago
- DenseNet Pytorch DenseNet121 DenseNet169 DenseNet201 DenseNet161☆13Updated 4 years ago
- The codes of Hpyergraph Transformer Nerual Networks.☆21Updated last year
- ☆237Updated 11 months ago
- MNIST classification by using GCN☆48Updated 5 years ago