#graphneuralnetworks search results

🚀 Call for Papers | Special Issue in Electronics Advances in Graph Neural #Networks for #Spatiotemporal Forecasting Submission Deadline: 15 April 2026 👥 Guest Editors: Zhou Zhou, Zhiwen Shao mdpi.com/journal/electr… #GraphNeuralNetworks #GNN #SpatiotemporalForecasting

ElectronicsMDPI's tweet image. 🚀 Call for Papers | Special Issue in Electronics

Advances in Graph Neural #Networks for #Spatiotemporal Forecasting

Submission Deadline: 15 April 2026
👥 Guest Editors: Zhou Zhou, Zhiwen Shao

mdpi.com/journal/electr…

#GraphNeuralNetworks #GNN #SpatiotemporalForecasting

🚀 Accelerated LAP solving with GNNs! My pipeline uses a Graph Neural Network to predict + a custom seeded JV solver for 1.3x-2x speedups (up to 4x on 16K+ matrices).Check the code & star if useful! github.com/egbariajad/GNN… #GraphNeuralNetworks #MachineLearning #Optimization #AI


🚀 Forecasting with Graph Neural Networks (GNNs) | 360DigiTMG 📅 Date: 27th October 2025 🕓 Time: 4:00 PM IST 📝 Register Now by clicking the link below 👇 360digitmg.zoom.us/webinar/regist… #GraphNeuralNetworks #Forecasting #AI #MachineLearning #DeepLearning #360DigiTMG

360digitmg's tweet image. 🚀 Forecasting with Graph Neural Networks (GNNs) | 360DigiTMG

📅 Date: 27th October 2025
🕓 Time: 4:00 PM IST

📝 Register Now by clicking the link below 👇
360digitmg.zoom.us/webinar/regist…

#GraphNeuralNetworks #Forecasting #AI #MachineLearning #DeepLearning #360DigiTMG

New article! Using graph neural networks and frequency domain data for automated operational modal analysis of populations of structures 👉 bit.ly/4mFGu9e By Xudong Jian, Yutong Xia, @gduthe_, Kiran Bacsa, Wei Liu and @Lne_Chatzi #DeepLearning #GraphNeuralNetworks

DCE_Journal's tweet image. New article!

Using graph neural networks and frequency domain data for automated operational modal analysis of populations of structures

👉 bit.ly/4mFGu9e

By Xudong Jian, Yutong Xia, @gduthe_, Kiran Bacsa, Wei Liu and @Lne_Chatzi 

#DeepLearning #GraphNeuralNetworks

🏢 One of our most-cited papers in Dynamics! “Estimating Spatio-Temporal Building Power Consumption Based on Graph Convolution Network Method.” GCNs + LSTMs boost accuracy in predicting building energy use. Read: mdpi.com/2673-8716/4/2/… #BuildingEnergy #GraphNeuralNetworks


🧠 New method for robust graph inference in EEG networks. ✅ Combines multiple connectivity estimates into a stable brain graph 🔍 Tested on motor imagery & Alzheimer’s data → more reliable biomarkers 🔮 Future → real-time BCI & clinical monitoring #EEG #GraphNeuralNetworks

sami_mjanini's tweet image. 🧠 New method for robust graph inference in EEG networks.

✅ Combines multiple connectivity estimates into a stable brain graph
🔍 Tested on motor imagery & Alzheimer’s data → more reliable biomarkers
🔮 Future → real-time BCI & clinical monitoring

#EEG #GraphNeuralNetworks
sami_mjanini's tweet image. 🧠 New method for robust graph inference in EEG networks.

✅ Combines multiple connectivity estimates into a stable brain graph
🔍 Tested on motor imagery & Alzheimer’s data → more reliable biomarkers
🔮 Future → real-time BCI & clinical monitoring

#EEG #GraphNeuralNetworks

"Feature Construction Using Network Control Theory and Rank Encoding for Graph Machine Learning," by A. Said, Y. Wei, O.U. Ahmad, M. Shabbir, W. Abbas, X. Koutsoukos Date: 15 August 2025 Link: ieeexplore.ieee.org/document/11126… #graphneuralnetworks #socialnetworking #controltheory #ojcsys

IEEE_OJCSYS's tweet image. "Feature Construction Using Network Control Theory and Rank Encoding for Graph Machine Learning," by A. Said, Y. Wei, O.U. Ahmad, M. Shabbir, W. Abbas, X. Koutsoukos
Date: 15 August 2025 
Link: ieeexplore.ieee.org/document/11126… #graphneuralnetworks #socialnetworking #controltheory #ojcsys

🔥 Read our Highly Cited Paper 📚XGBoost-Enhanced #GraphNeuralNetworks: A New Architecture for Heterogeneous Tabular Dat 🔗mdpi.com/2076-3417/14/1… 👨‍🔬by Liuxi Yan and Yaoqun Xu 🏫Harbin University of Commerce #nodeprediction #nodeclassification

Applsci's tweet image. 🔥 Read our Highly Cited Paper
📚XGBoost-Enhanced #GraphNeuralNetworks: A New Architecture for Heterogeneous Tabular Dat
🔗mdpi.com/2076-3417/14/1…
👨‍🔬by Liuxi Yan and Yaoqun Xu
🏫Harbin University of Commerce
#nodeprediction #nodeclassification

Insider trading rarely looks like a Hollywood heist. More often, it’s whispered tips over dinner, quiet trades through family accounts. #QuantFinance #AI #GraphNeuralNetworks #InsiderTrading open.substack.com/pub/llmquant/p…

LLMQuant's tweet image. Insider trading rarely looks like a Hollywood heist. More often, it’s whispered tips over dinner, quiet trades through family accounts. #QuantFinance #AI #GraphNeuralNetworks #InsiderTrading
open.substack.com/pub/llmquant/p…
LLMQuant's tweet image. Insider trading rarely looks like a Hollywood heist. More often, it’s whispered tips over dinner, quiet trades through family accounts. #QuantFinance #AI #GraphNeuralNetworks #InsiderTrading
open.substack.com/pub/llmquant/p…
LLMQuant's tweet image. Insider trading rarely looks like a Hollywood heist. More often, it’s whispered tips over dinner, quiet trades through family accounts. #QuantFinance #AI #GraphNeuralNetworks #InsiderTrading
open.substack.com/pub/llmquant/p…
LLMQuant's tweet image. Insider trading rarely looks like a Hollywood heist. More often, it’s whispered tips over dinner, quiet trades through family accounts. #QuantFinance #AI #GraphNeuralNetworks #InsiderTrading
open.substack.com/pub/llmquant/p…

ReaGAN: Transforming Graph Nodes into Autonomous Agents for Enhanced AI Decision-Making #ReaGAN #GraphNeuralNetworks #ArtificialIntelligence #MachineLearning #AIResearch itinai.com/reagan-transfo… Understanding ReaGAN: A Revolutionary Approach to Graph Neural Networks The introd…

vlruso's tweet image. ReaGAN: Transforming Graph Nodes into Autonomous Agents for Enhanced AI Decision-Making #ReaGAN #GraphNeuralNetworks #ArtificialIntelligence #MachineLearning #AIResearch
itinai.com/reagan-transfo…

Understanding ReaGAN: A Revolutionary Approach to Graph Neural Networks

The introd…

Check this newly published article "Defending #GraphNeuralNetworks Against #BackdoorAttacks via Symmetry-Aware Graph Self-Distillation" at brnw.ch/21wUVQU Authors: Hanlin Wang, Liang Wan and Xiao Yang #mdpisymmetry #artificialintelligencesecurity

Symmetry_MDPI's tweet image. Check this newly published article "Defending #GraphNeuralNetworks Against #BackdoorAttacks via Symmetry-Aware Graph Self-Distillation" at brnw.ch/21wUVQU 
Authors: Hanlin Wang, Liang Wan and Xiao Yang

#mdpisymmetry #artificialintelligencesecurity

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