This is the repository for the collection of Graph-based Deep Learning for Communication Networks.

code implementation for paper: A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification

this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.

Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"

A Behavior-Based Device Identification Method for the IoT

Gated Transformer for Hyperspectral Anomaly Detection

A large collection of system log datasets for AI-driven log analytics [ISSRE'23]

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT

Dataset and Code for NCAA 2024 paper "An Adaptive Charging Scheme For Large-Scale Wireless Rechargeable Sensor Networks Inspired By Deep Q-Network"

Grounding Graph Network Simulators using Physical Sensor Observations

Training a Graph Neural Network to detect illicit bitcoin transactions

This is a Pytorch implementation of GraphLIME

[The Web Conference 2024] GNNShap: Scalable and Accurate GNN Explanation using Shapley Values

A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks

Awesome Artificial Intelligence for Electronic Design Automation Papers.

Implementation of NeurIPS 2021 paper "On Joint Learning for Solving Placement and Routing in Chip Design" & NeurIPS 2022 paper "The Policy-gradient Placement and Generative Routing Neural Networks …

to prediction the remain useful life of bearing based on 2012 PHM data

A topic-centric list of HQ open datasets.

A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models

A collection of AWESOME things about mixture-of-experts

Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer

Remaining useful life prediction by Transformer-based Model

Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

Papers about explainability of GNNs

Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful l…