0% Complete
صفحه اصلی
/
سی و دومین کنفرانس بین المللی مهندسی برق
Enhancing Kriging with Inductive Spatio-Temporal GraphODE
نویسندگان :
Amin Sheykhzadeh
1
Behzad Moshiri
2
Ebrahim Ghafar-Zadeh
3
1- دانشگاه تهران
2- دانشگاه تهران
3- کانادا
کلمات کلیدی :
Spatio-temporal Kriging،Graph Neural Networks،Neural Differential Equations،Over-smoothing
چکیده :
Sensory networks in environmental monitoring provide real-time data on critical parameters, but the costs of installation and maintenance limit high-resolution data acquisition. Researchers aim to estimate values at specific locations without prior data samples, considering two approaches: virtual sensors and kriging. While virtual sensors face challenges in dynamic sensor networks where for every sensor added or disconnected the whole network should be retrained, kriging, especially spatio-temporal kriging using Graph Neural Networks, overcomes traditional kriging drawbacks and allows adaptability in dynamic sensor networks without frequent retraining. Despite their success, existing spatio-temporal kriging methods face challenges, notably the over-smoothing problem, restricting their ability to utilize deeper graph structures for a more comprehensive latent representation. In this paper, we propose a two-part method based on neural differential equations. The first part estimates values using spatial adjacency, while the second part refines these estimates considering temporal dependencies. Our approach explicitly addresses the over-smoothing problem, leading to a 2-8% improvement over state-of-the-art baseline methods. The results hold promise for enhancing the accuracy and effectiveness of environmental monitoring applications.
لیست مقالات
لیست مقالات بایگانی شده
Stability Analysis of a New Switched SEIAR-Vac-Iso Epidemic Model for the COVID-19
Amir Hossein Amiri Mehra - Mohsen Shafieirad - Zohreh Abbasi - Iman Zamani
Enhancing Kriging with Inductive Spatio-Temporal GraphODE
Amin Sheykhzadeh - Behzad Moshiri - Ebrahim Ghafar-Zadeh
Hybrid PI-SOSM Controller for Battery and Supercapacitor Integration in Electric Vehicles
Maede Azimi - Ghasem Rezazadeh - Mohsen Hamzeh
Autonomous Guidance and Control of Satellite Formation Flying Based on Q-Learning with Collision Avoidance Capability
Hamid Mohsennezhad - Mohammadrasoul Kankashvar - Hossein Bolandi
تشخیص و مکان یابی خطاها در آرایه های فتوولتائیک متصل به شبکه
سعید انصاری - حیدر صامت - تیمور قنبری
Evaluating the Impact of Operation Scheduling Methods on Microgrid Reliability Using Monte Carlo Simulation
Mahsa Omri - Mohammad Jooshaki - Ali Abbaspour - Mahmud Fotuhi-Firuzabad
A New Coupled Inductor based Non-Isolated Dual Input Soft-Switching High Step-up DC-DC Converter
Amirreza Razavi Majarshin - Ebrahim Babaei - Mehran Sabahi
Precise model extraction for Li-Ion batteries using segmented Columb counting and Kalman filtering
Ali Fotokkiani - Ali Ghanbarian - Amirhossein Esteghamat - Ali Fotowat-Ahmady - Farzad Tahami
Using the Artificial Bee Colony (ABC) Algorithm in Collaboration with the Fog Nodes in the Internet of Things Three-layer Architecture
Shakoor Vakilian - Seyed Vahid Moravvej - Ali Fanian
بهبود تابآوری شبکههای توزیع سنتی در مرحله پیش از حادثه به کمک بازآرایی با الگوریتم ارگانیسم همزیستی
حسین بایسته - رضا شیردره - محمد احمدوند
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.4.2