#graphconvolutionalnetworks 搜尋結果
We do Walmart grocery order & pickup every week. Just saw the coolest talk about the #ai involved in deciding what to sub for out of stock items. There is nothing random about the subs! @MarkIIISystems @WalmartLabs #graphconvolutionalnetworks @reworkdl
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.
ACGCN: #GraphConvolutionalNetworks for Activity Cliff Prediction between Matched Molecular Pairs #compchem pubs.acs.org/doi/10.1021/ac… #current_issue #JCIM #MachineLearning #DeepLearning
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…
#AnomalyDetection with #GraphConvolutionalNetworks for #InsiderThreat and #FraudDetection, #MilCom 2019 doi.org/10.1109/MILCOM… @UTSAResearch #CyberSecurity #AI #MachineLearning #DeepLearning #anomalousbehavior
#highlycitedpaper How to Represent Paintings: A Painting Classification Using Artistic Comments mdpi.com/1424-8220/21/6… #GraphConvolutionalNetworks #ArtClassification
Our work on "#Nonlocal #GraphConvolutionalNetworks for #Hyperspectral #ImageClassification" by Lichao is out @IEEE_GRSS #TGRS: ieeexplore.ieee.org/document/90919… #GCN rocks. We need new #Benchmarks in #Hyperspectral #remotesensing! #AI4EO Follow our research @Zhu_XLab
#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 Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future mdpi.com/1424-8220/21/1… @QUT #GraphConvolutionalNetworks #MachineLearning #DeepLearning
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…
#highlycitedpaper Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future mdpi.com/1424-8220/21/1… @QUT #graphconvolutionalnetworks #DeepLearning #MedicalDiagnosis
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
🔥 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
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
Graph Convolutional Networks (2016) tkipf.github.io/graph-convolut… #GraphConvolutionalNetworks
Understanding / Modeling #polypharmacy side effects with #GraphConvolutionalNetworks (GCN) #systemsbiology academic.oup.com/bioinformatics…
Using #graphconvolutionalnetworks to classify conversations towardsdatascience.com/emotion-recogn… #NLP #emotionrecognition #machinelearning #deeplearning
#GraphConvolutionalNetworks applied to #KnowledgeGraphs for link prediction. Better understanding of the function to create batches for the training stage. #100DaysOfMLCode #Day2 Log: gist.github.com/giuseppefutia/…
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