#graphconvolutionalnetworks نتائج البحث
🔥 Read our Paper 📚 Hourly Long-Term #Traffic Volume Prediction with #Meteorological Information Using #GraphConvolutionalNetworks 🔗 mdpi.com/2076-3417/14/6… 👨🔬 by Mr. Sangung Park et al. 🏫 @LifeAtPurdue / Korea National University of Transportation
Just read about the new SuperGCN framework for efficient CPU-powered GCN training on large graphs. This breakthrough in distributed graph learning is a game changer for scientific and industrial applications! #SuperGCN #GraphConvolutionalNetworks marktechpost.com/2024/12/02/thi…
marktechpost.com
This AI Paper Introduces SuperGCN: A Scalable and Efficient Framework for CPU-Powered GCN Training...
This AI Paper Introduces SuperGCN: A Scalable and Efficient Framework for CPU-Powered GCN Training on Large Graphs
This AI Paper Introduces SuperGCN: A Scalable and Efficient Framework for CPU-Powered GCN Training on Large Graphs itinai.com/this-ai-paper-… #GraphConvolutionalNetworks #SuperGCN #AIResearch #DataScience #MachineLearning #ai #news #llm #ml #research #ainews #innovation #artific…
New research introduces Relational Graph Convolutional Networks as a powerful tool for sentiment analysis, offering a more nuanced understanding of text data. #SentimentAnalysis #GraphConvolutionalNetworks ift.tt/WHjApJC
#highlycitedpaper Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future mdpi.com/1424-8220/21/1… @QUT #graphconvolutionalnetworks #DeepLearning #MedicalDiagnosis
#highlycitedpaper Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future mdpi.com/1424-8220/21/1… @QUT #graphrepresentation #graphconvolutionalnetworks #brainfunctionalconnectivity #anatomicalstructureanalysis
Inaam Ashraf shows how he uses #GraphConvolutionalNetworks to estimate water pressure, and detect and localize leaks. Results look promising, but have (still 😉) limited generalizability. Joint work with Luca Hermes, also from our group.
Graph convolutional networks are revolutionizing the world of machine learning! These powerful models can handle data with complex relationships, making them ideal for tasks like drug discovery and social network analysis. #graphconvolutionalnetworks #machinelearning #AI
#highlycitedpaper End-to-End Deep Graph Convolutional Neural Network Approach for Intentional Islanding in Power Systems Considering Load-Generation Balance mdpi.com/1424-8220/21/5… @IHU_SciTech #GraphConvolutionalNetworks #DeepLearning
#highlycitedpaper How to Represent Paintings: A Painting Classification Using Artistic Comments mdpi.com/1424-8220/21/6… #GraphConvolutionalNetworks #ArtClassification
#highlycitedpaper Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future mdpi.com/1424-8220/21/1… @QUT #GraphConvolutionalNetworks #MachineLearning #DeepLearning
ACGCN: #GraphConvolutionalNetworks for Activity Cliff Prediction between Matched Molecular Pairs #compchem pubs.acs.org/doi/10.1021/ac… #current_issue #JCIM #MachineLearning #DeepLearning
Read #NewPaper "Semantic–Structural Graph Convolutional Networks for Whole-Body Human Pose Estimation" from Dr. Weiwei Li, Dr. Rong Du and Prof. Dr.Shudong Chen. See more details at: mdpi.com/2078-2489/13/3… #HumanPoseEstimation #GraphConvolutionalNetworks
A new paper published by Iraklis Varlamis et al., Greece. A Survey on the Use of #GraphConvolutionalNetworks for Combating Fake News #fakenews #GCNs #misinformation #fakeaccounts mdpi.com/1999-5903/14/3…
Understanding / Modeling #polypharmacy side effects with #GraphConvolutionalNetworks (GCN) #systemsbiology academic.oup.com/bioinformatics…
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