Discover zshicode/Comprehensive-LP-GNN Open Source project

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Created almost 3 years ago
Updated almost 3 years ago

zshicode

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Some tentative models that incorporate label propagation to graph neural networks for graph representation learning in nodes, links or graphs.

Attention-CLX-stock-prediction

Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction

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187

Deep-Learning-Based-State-Estimation

Incorporating Transformer and LSTM to Kalman Filter with EM algorithm

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GNN-for-text-classification

Graph convolutional networks (GCN), graphSAGE and graph attention networks (GAT) for text classification

Python

LaTeX-Beamer-Nankai

LaTeX beamer template of Nankai University

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Raman-Spectra-Deep-Learning

PyTorch implementation of deep learning for Raman spectrum recognition: CNN, LSTM, GNN and contrastive learning

Python

GNN-AttCL-protein

Models and benchmarks for protein classification

Python

Latent-variable-GNN

Combination of latent variable inference and graph neural networks

Python

A-Verilog-VHDL-design-using-python

A basic introduction of Verilog/VHDL design using Myhdl based on Python.

VHDL

Deep-Learning-Raman-Element

Deep learning for element identification using Raman spectrum

Python

GNN-Food-Pairing

Food pairing recommendation based on food-compound matrix and graph neural networks

Python

Deep-Learning-AGV-Control

Deep learning-based Kalman Filter and linear quadratic Gaussian (LQG) optimal control of automated-guided vehicles (AGV)

Python

DL-Food-Taste-QSAR

Deep learning-based food-compound QSAR of food tastes

Python

MambaLithium

MambaLithium: Selective state space model for state-of-charge estimation of lithium-ion batteries

Python

zshicode/Comprehensive-LP-GNN

zshicode

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