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#graphmachinelearning kết quả tìm kiếm

Không có kết quả nào cho "#graphmachinelearning"
theodor_badea's profile picture. AI & blockchain enthusiast. Researcher @ University Politehnica of Bucharest, R&D @ Keysight Technologies
Theodor Badea
 @theodor_badea
8 thg 12

“Haar-Laplacian for Directed Graphs”-IEEE Transactions on Signal and Information Processing over Networks (TSIPN) Full article: ieeexplore.ieee.org/document/11168… Preprint: arxiv.org/abs/2411.15527 #GraphMachineLearning #GraphNeuralNetworks #GCN #GNN #MachineLearning

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alj_jenkins's profile picture. PhD Student at Imperial. Graph ML in cardiology. MPhys.
Alexander Jenkins
 @alj_jenkins
14 thg 2

🫀❤️Thrilled to share our Valentine's Day preprint on AI mapping the human heart! Using #GraphMachineLearning, we're bridging the gap between contact & non-contact catheters for AF mapping. 1/5

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sabyasachi_uni's profile picture. Research Scholar(IIT KGP)| Faculty| 2x TEDx Speaker| Chair of IEEE CS SBC IIT Kharagpur| GDE| IISERian, IITian| Former CHANAKYA PhD Fellow
Sabyasachi Mukhopadhyay
 @sabyasachi_uni
16 thg 11, 2024

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
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Applsci's profile picture. Applied Sciences (ISSN 2076-3417; IF 2.5) is an international peer-reviewed #openaccess journal on all aspects of applied natural sciences by @MDPIOpenAccess.
Applied Sciences MDPI
@Applsci
9 thg 10, 2024

🔥 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
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rijitK's profile picture. Data management for emerging problems in large graphs. IEEE Senior Member, ACM Distinguished Speaker, Associate Professor @ Bowling Green State University, USA.
Arijit K
 @rijitK
4 thg 10, 2024

A preprint of our workshop report ''LLM+KG: Data Management Opportunities in Unifying Large Language Models+Knowledge Graphs'' is available here: arxiv.org/pdf/2410.01978 #LLMs #KnowledgeGraphs #GraphMachineLearning #GraphDataManagement #GraphRAG #VLDB24 #VLDB2024

VLDB2024's profile picture. VLDB 2024 will take place in Guangzhou, China, on August 26-August 30, 2024.
VLDB 2024
 @VLDB2024
30 thg 7, 2024

🌟Excited for the "LLM+KG: Data Management Opportunities in Unifying Large Language Models + Knowledge Graphs" workshop at #VLDB2024! 🚀 #AI #NLP #KnowledgeGraphs #DataScience #LLM This session will begin at 9:00 AM on August 26th! For more details: seucoin.github.io/workshop/llmkg/

VLDB2024's tweet image. 🌟Excited for the "LLM+KG: Data Management Opportunities in Unifying Large Language Models + Knowledge Graphs" workshop at #VLDB2024! 🚀 #AI #NLP #KnowledgeGraphs #DataScience #LLM This session will begin at 9:00 AM on August 26th! For more details: seucoin.github.io/workshop/llmkg/
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gastronomy's profile picture. addict to vibe coding and experimenting with various LLMs.
Tanat Tonguthaisri
@gastronomy
28 thg 8, 2024

📢 New article alert! Explore the pioneering framework TEA-GLM, leveraging large language models for zero-shot graph machine learning. Uncover how it enhances effectiveness in zero-shot scenarios. Read more here: bit.ly/4dCc04z #graphmachinelearning #LLMs #TEAGLM

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rijitK's profile picture. Data management for emerging problems in large graphs. IEEE Senior Member, ACM Distinguished Speaker, Associate Professor @ Bowling Green State University, USA.
Arijit K
 @rijitK
3 thg 5, 2024

Blog post (big-graph-live.blogspot.com/2024/05/view-b…) for our paper "View-based Explanations for Graph Neural Networks" - T. Chen, D. Qiu, Y. Wu, A. Khan, X. Ke, and Y. Gao, to be presented @SIGMODConf #SIGMOD2024 #SIGMOD24 #GraphMachineLearning #GraphDataManagement #DatabaseViews #ExplainableAI

rijitK's profile picture. Data management for emerging problems in large graphs. IEEE Senior Member, ACM Distinguished Speaker, Associate Professor @ Bowling Green State University, USA.
Arijit K
 @rijitK
8 thg 1, 2024

Find the preprint arxiv.org/abs/2401.02086 of our paper ''View-based Explanations for Graph Neural Networks'' accepted at @SIGMODConf #SIGMOD2024 #SIGMOD24 #GraphMachineLearning #GraphDataManagement #DatabaseViews #ExplainableA

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Không có kết quả nào cho "#graphmachinelearning"
sabyasachi_uni's profile picture. Research Scholar(IIT KGP)| Faculty| 2x TEDx Speaker| Chair of IEEE CS SBC IIT Kharagpur| GDE| IISERian, IITian| Former CHANAKYA PhD Fellow
Sabyasachi Mukhopadhyay
 @sabyasachi_uni
16 thg 11, 2024

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
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NECLabsEU's profile picture. We develop cutting-edge #technology across #AI, #6G, #digitalhealth and #security to solve society's biggest challenges.
NEC Laboratories Europe
 @NECLabsEU
9 thg 1, 2024

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
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Applsci's profile picture. Applied Sciences (ISSN 2076-3417; IF 2.5) is an international peer-reviewed #openaccess journal on all aspects of applied natural sciences by @MDPIOpenAccess.
Applied Sciences MDPI
@Applsci
9 thg 10, 2024

🔥 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
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DegasSeminar's profile picture. Virtual seminar series on Data Science on Graphs (DEGAS). Organized by the @IEEEsps Data Science Initiative.
DEGAS Seminar
 @DegasSeminar
10 thg 1, 2022

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!
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Data61news's profile picture. Creating our data-driven future. We're the world’s leading data-focused innovation powerhouse. Follows, likes, RTs not endorsements.
Data61
 @Data61news
6 thg 5, 2020

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

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Data61news's profile picture. Creating our data-driven future. We're the world’s leading data-focused innovation powerhouse. Follows, likes, RTs not endorsements.
Data61
 @Data61news
26 thg 4, 2020

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

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TheOrbifold's profile picture. Graph visualization and graph analytics consulting.
Graphs & Networks
 @TheOrbifold
7 thg 3, 2024

@KuzuDB has straightforward integrations with Polars, NetworkX, Pandas, PyArrow and...Torch Geometric! Meaning that you can export data towards #GraphMachineLearning with one method call. If only they had a bolt driver for JavaScript (hint). kuzudb.com

TheOrbifold's tweet image. @KuzuDB has straightforward integrations with Polars, NetworkX, Pandas, PyArrow and...Torch Geometric! Meaning that you can export data towards #GraphMachineLearning with one method call. If only they had a bolt driver for JavaScript (hint). kuzudb.com
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TheOrbifold's profile picture. Graph visualization and graph analytics consulting.
Graphs & Networks
 @TheOrbifold
26 thg 7, 2022

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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