The relevant data and codes of our ISCAS2022 work "Predicting Onset Time of Cascading Failure in Power Systems Using A Neural Network-based Classifier".
☆20Nov 15, 2022Updated 3 years ago
Alternatives and similar repositories for Cascading-failure-learning
Users that are interested in Cascading-failure-learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The relevant codes of our work "Revealing Structural and Functional Vulnerability of Power Grids to Cascading Failures".☆23Apr 24, 2021Updated 5 years ago
- The relevant codes for "GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections".☆14Mar 21, 2024Updated 2 years ago
- Cascading Failures Prediction on Complex Networks☆36Jan 19, 2020Updated 6 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆273Dec 4, 2024Updated last year
- A dynamic cascading failure simulation platform implemented in DIgSILENT PowerFactory via the Python API. It automatically develops casca…☆24May 8, 2026Updated 5 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- This project models cascading failures in power system. Then it uses reinforcement learning to identify critical failure paths to avoid t…☆26May 26, 2021Updated 5 years ago
- AC cascading failure model based on MATPOWER for resilience analysis of power networks.☆47Mar 10, 2021Updated 5 years ago
- 智能打印机后台服务 spring springmvc mybatis socketchannel☆13Apr 21, 2017Updated 9 years ago
- This repository will have pre-processed dataset and related scripts for building Machine learning based model for classification of False…☆14Aug 8, 2020Updated 6 years ago
- ☆10Feb 22, 2023Updated 3 years ago
- #2016 #matlab #matpower #master-thesis #Electrical-Engineering☆17Mar 31, 2019Updated 7 years ago
- ☆15Apr 4, 2021Updated 5 years ago
- FastGCN in Matlab and companion codes for analysis of SGD with biased but consistent gradient estimators☆15Jan 19, 2019Updated 7 years ago
- Using Potential Field path planning, a Frontier-based exploration strategy was designed which enabled the Turtlebot to explore an unknown…☆17Apr 30, 2018Updated 8 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆14Jun 18, 2025Updated last year
- Facilitating learning, using, and designing graph processing pipelines/models systematically.☆26Aug 24, 2022Updated 4 years ago
- How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)☆13Jul 24, 2022Updated 4 years ago
- Classify DNA sequence into Binary class using different Classification algorithms.☆12Feb 24, 2024Updated 2 years ago
- [NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study☆16Dec 31, 2024Updated last year
- The implementation of "Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network".☆18Nov 27, 2024Updated last year
- A Survey of Deep Learning Models for Structural Code Understanding☆21May 12, 2022Updated 4 years ago
- PyTorch-Geometric Implementation of MarkovGNN method published in Graph Learning@WWW 2022 titled "MarkovGNN: Graph Neural Networks on Mar…☆14Feb 8, 2022Updated 4 years ago
- [IEEE S&P 22] "LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis" by Fan Wu, Yunhui Long, Ce Zhang, …☆23Sep 7, 2021Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- The codebase for an AI-Based detection system to detect False Data Injection Attacks (FDIA) – the most sophisticated and damaging attack …☆28Aug 29, 2021Updated 5 years ago
- Graph Injection Adversarial Attack & Defense Dataset , extracted from KDD CUP 2020 ML2 Track☆22Aug 19, 2024Updated 2 years ago
- Code for "Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure" (ICML 2023)☆24Jun 1, 2023Updated 3 years ago
- Source code of "NeurIPS21 - Universal Graph Convolutional Networks"☆20Nov 18, 2021Updated 4 years ago
- ☆20Aug 26, 2021Updated 5 years ago
- ☆28Nov 4, 2021Updated 4 years ago
- A simple collection of arXiv daily graph mining-related papers for personal reading.☆24Updated this week
- code for paper TDGIA:Effective Injection Attacks on Graph Neural Networks (KDD 2021, research track)☆22Nov 5, 2021Updated 4 years ago
- "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.☆30Oct 18, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…☆29Nov 17, 2022Updated 3 years ago
- ☆33May 11, 2024Updated 2 years ago
- source code of KDD 2022 paper "Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN".☆28May 29, 2024Updated 2 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆34Dec 21, 2021Updated 4 years ago
- Code for Towards More Practical Adversarial Attacks on Graph Neural Networks (NeurIPS 2020)☆27Nov 13, 2021Updated 4 years ago
- Official repository for AAAI'23 paper: Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinf…☆30Nov 26, 2022Updated 3 years ago
- This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).☆30Jul 25, 2023Updated 3 years ago