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Attention-CLX-stock-prediction
Attention-based CNN-LSTM and XGBoost hybrid model for stock predictionDeep-Learning-Based-State-Estimation
Incorporating Transformer and LSTM to Kalman Filter with EM algorithmGNN-for-text-classification
Graph convolutional networks (GCN), graphSAGE and graph attention networks (GAT) for text classificationLaTeX-Beamer-Nankai
LaTeX beamer template of Nankai UniversityRaman-Spectra-Deep-Learning
PyTorch implementation of deep learning for Raman spectrum recognition: CNN, LSTM, GNN and contrastive learningLatent-variable-GNN
Combination of latent variable inference and graph neural networksA-Verilog-VHDL-design-using-python
A basic introduction of Verilog/VHDL design using Myhdl based on Python.Deep-Learning-Raman-Element
Deep learning for element identification using Raman spectrumGNN-Food-Pairing
Food pairing recommendation based on food-compound matrix and graph neural networksDeep-Learning-AGV-Control
Deep learning-based Kalman Filter and linear quadratic Gaussian (LQG) optimal control of automated-guided vehicles (AGV)DL-Food-Taste-QSAR
Deep learning-based food-compound QSAR of food tastesMambaLithium
MambaLithium: Selective state space model for state-of-charge estimation of lithium-ion batteriesComprehensive-LP-GNN
Some tentative models that incorporate label propagation to graph neural networks for graph representation learning in nodes, links or graphs.Love Open Source and this site? Check out how you can help us