IPCLab / CDRFLinks
CDRF (Call Detail Record Forecasting): A multitask learning architecture using deep learning networks for mobile traffic forecasting
☆32Updated 7 years ago
Alternatives and similar repositories for CDRF
Users that are interested in CDRF are comparing it to the libraries listed below
Sorting:
- Source code of IEEE JSAC☆35Updated 5 years ago
- This repository implements the model in MobiHoc'18: "Long-term mobile traffic forecasting using deep spatio-temporal neural networks"☆28Updated 6 years ago
- Source code of Citywide Cellular Traffic Prediction Based on Densely Connected Convolutional Neural Networks☆42Updated 4 years ago
- Source code and data for our JSAC paper☆24Updated 4 years ago
- 6 different state of art prediction models applied to mobile network traffic prediction are available.☆20Updated 2 years ago
- The source code for citywide wireless traffic prediction based on deep learning (DenseNet)☆21Updated 6 years ago
- Real-Time Network Traffic Volume Prediction using time series and recurrent neural network☆49Updated 4 years ago
- Implementing Multi-level attention netowrk for spatio-temporal prediction☆16Updated 6 years ago
- ☆20Updated 3 years ago
- ☆12Updated last year
- City Cellular Traffic Map (C2TM)☆49Updated 8 years ago
- Source code for 'Dual Attention Based FL for Wireless Traffic Prediction'☆68Updated 3 years ago
- Federated Learning for 5G Base Station Traffic Forecasting☆61Updated last month
- LSTM and ARIMA for network traffic prediction (Christoph Kaiser's MA)☆38Updated 5 years ago
- This is the project for Internet-related studies.☆24Updated 3 years ago
- CIKM21 accepted paper - Multivariate and Propagation Graph Attention Network for Spatial-Temporal Prediction with Outdoor Cellular Traffi…☆5Updated 3 years ago
- Graph Convolutional Adversarial Networks for Spatio-Temporal Anomaly Detection☆24Updated 2 years ago
- The code of flow-by-flow network traffic prediction.☆14Updated 2 years ago
- Code for ISSCC2019 paper《Traffic Matrix Prediction Based on Deep Learning for Dynamic Traffic Engineering》☆40Updated 4 years ago
- A statistical decomposition of internet traffic data (in bits) over time. Using RStudio I performed a Simple Trend Model, Multiplicative …☆24Updated 7 years ago
- use lstm&svr to predict the network traffic☆42Updated 3 years ago
- MD,LSTM-AE,VAE-MAD-GAN☆31Updated 4 years ago
- Adaptive Hybrid Spatial-Temporal Graph Neural Network for Cellular Traffic Prediction☆24Updated 2 years ago
- 网络流量预测☆19Updated 2 years ago
- Purposed a network traffic classification and prediction model based on CNN, TCN and Attention mechanism.☆20Updated last year
- this is dataset about network traffic☆21Updated 4 years ago
- codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction☆74Updated 3 years ago
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆137Updated 3 months ago
- The code of AAAI2021 paper of HGCN for Traffic Forecasting☆95Updated 2 years ago
- source code of paper 'Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search Based on Reinforcement Learning and Exis…☆11Updated 4 years ago