#graphneuralnetworks search results
New paper from Department of Structural Bioinformatics @ICHBPAN ➡️ Graph neural network and diffusion model for modeling RNA interatomic interactions #RNA #NeuralNetworks #GraphNeuralNetworks #ComputationalBiology academic.oup.com/bioinformatics…
New paper from Department of Structural Bioinformatics @ICHBPAN ➡️ Graph neural network and diffusion model for modeling RNA interatomic interactions #RNA #NeuralNetworks #GraphNeuralNetworks #ComputationalBiology academic.oup.com/bioinformatics…
🚀 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
“Graph Neural Networks in Action.” 📖 Available now — read it online on NJD Web Download! #GraphNeuralNetworks #MachineLearning #ArtificialIntelligence #ScienceBook #DeepLearning #NJDWebDownload #ReadOnline #TechInnovation #AIResearch #NeuralNetworks #DataScience #GraphAI
🚀 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
Postdoctoral Position in Machine Learning for Organic Synthesis 📍 Rouen, France Apply now: researchhires.com/position/75128… #machinelearning #GraphNeuralNetworks #Postdocs #ResearchHires #OrganicSynthesis
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
🎙️ AI Frontiers Sep 7, 2025: 19 Papers on Efficient, Explainable & Trustworthy ML #MachineLearning #AIResearch #GraphNeuralNetworks Watch full episode: youtube.com/watch?v=rO7c8b…
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AI Frontiers Sep 7, 2025: 19 Papers on Efficient, Explainable &...
New algorithms enable efficient machine learning with symmetric data bit.ly/4nowuSz #MachineLearning #SymmetryInAI #GraphNeuralNetworks #DataScience #AIResearch #EfficientAlgorithms #DeepLearning #ScientificComputing #Smartsystems
"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
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…
Graph RAG vs RAG: Which One Is Truly Smarter for AI Retrieval? | Data Science Dojo #GraphNeuralNetworks, #NLP, #DataScience, #MachineLearning, #ArtificialIntelligence datasciencedojo.com/blog/graph-rag…
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
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