#graphmachinelearning نتائج البحث

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لا توجد نتائج لـ "#graphmachinelearning"
لا توجد نتائج لـ "#graphmachinelearning"

Thanks to #DrPlabanBhowmick for his excellent theory session on the 'Introduction to #GraphMachineLearning' on the eve of the 5-Day Mid Career Training Program (#MCTP) on the Foundation Course on #AI and #BigData for #ISS officers at #IITKharagpur on November 13. @plabanb

sabyasachi_uni's tweet image. Thanks to #DrPlabanBhowmick for his excellent theory session on the 'Introduction to #GraphMachineLearning' on the eve of the 5-Day Mid Career Training Program (#MCTP) on the Foundation Course on #AI and #BigData for #ISS officers at #IITKharagpur on November 13. @plabanb

Using #GraphMachineLearning when your data is not a #graph? K-nearest neighbor graphs are not a good solution in fully supervised #machinelearning scenarios. Learn why in the #NeurIPS23 paper by @federico_errica. Read here: neclab.eu/research-areas…. #NECLabs

NECLabsEU's tweet image. Using #GraphMachineLearning when your data is not a #graph? K-nearest neighbor graphs are not a good solution in fully supervised #machinelearning scenarios. Learn why in the #NeurIPS23 paper by @federico_errica. Read here: neclab.eu/research-areas…. #NECLabs

🔥 Read our Highly Cited Paper 📚Prediction of Water Leakage in Pipeline Networks Using Graph Convolutional Network Method 🔗mdpi.com/2076-3417/13/1… 👨‍🔬 by Dr. Ersin Şahin et al. #graphconvolutionalnetwork #graphmachinelearning

Applsci's tweet image. 🔥 Read our Highly Cited Paper  
📚Prediction of Water Leakage in Pipeline Networks Using Graph Convolutional Network Method
🔗mdpi.com/2076-3417/13/1…
👨‍🔬 by Dr. Ersin Şahin et al.   
#graphconvolutionalnetwork #graphmachinelearning

Excited to announce our next talk (and the first of 2022!): Speaker: @PeterWBattaglia Date/Time: Jan 13, 3:00pm CET Title: Modeling physical structure and dynamics using graph-based machine learning #graphmachinelearning Follow us and register at dsiseminar.github.io!

DegasSeminar's tweet image. Excited to announce our next talk (and the first of 2022!):

Speaker: @PeterWBattaglia 

Date/Time: Jan 13, 3:00pm CET
Title: Modeling physical structure and dynamics using graph-based machine learning #graphmachinelearning

Follow us and register at dsiseminar.github.io!

How to design end-to-end visual solutions for graph machine learning while ensuring a user-friendly experience - a Data61 UX Designer on making data accessible, purposeful, and tangible: bit.ly/2VHKNrX #graphmachinelearning #machinelearning #userexperience


Open source #graphmachinelearning library StellarGraph has launched a series of #algorithms for network graph analysis to discover patterns in #data, work with larger data sets and speed up performance while reducing memory usage. Access the library here: bit.ly/2L6n7Xy


Deep Graph Library v0.9 has been released and comes with buff.ly/2RHeUvi cuGraph integration. buff.ly/3OuCqaU #GraphMachineLearning

TheOrbifold's tweet image. Deep Graph Library v0.9 has been released and comes with buff.ly/2RHeUvi cuGraph integration.    buff.ly/3OuCqaU #GraphMachineLearning

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