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#graphmachinelearning résultats de recherche

TheOrbifold's profile picture. Graph visualization and graph analytics consulting.
Graphs & Networks
 @TheOrbifold
7 mars 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
30 janv. 2023

The Deep Graph Library (DGL) reached v1.0 and is packed with new features, like hypergraph neural nets, CUDA streams, hetero graph explainers and more. buff.ly/3Y4nFRi #GraphMachineLearning

TheOrbifold's tweet image. The Deep Graph Library (DGL) reached v1.0 and is packed with new features, like hypergraph neural nets, CUDA streams, hetero graph explainers and more. buff.ly/3Y4nFRi #GraphMachineLearning
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TheOrbifold's profile picture. Graph visualization and graph analytics consulting.
Graphs & Networks
 @TheOrbifold
11 mars 2023

The graph of primes exhibits some striking patterns and anomalies, both topologically and in its centrality measures.Can #GraphMachineLearning help here? Based on research with Soumya Jyoti Banerjee buff.ly/3FbO0WM #graphs

TheOrbifold's tweet image. The graph of primes exhibits some striking patterns and anomalies, both topologically and in its centrality measures.Can #GraphMachineLearning help here? Based on research with Soumya Jyoti Banerjee buff.ly/3FbO0WM #graphs
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TheOrbifold's profile picture. Graph visualization and graph analytics consulting.
Graphs & Networks
 @TheOrbifold
30 avr. 2023

GraphScope (by Alibaba) is a unified distributed graph computing platform that provides a one-stop environment for performing diverse graph operations on a cluster through a user-friendly Python interface buff.ly/3LG76Yp #GraphMachineLearning #Graphs

TheOrbifold's tweet image. GraphScope (by Alibaba) is a unified distributed graph computing platform that provides a one-stop environment for performing diverse graph operations on a cluster through a user-friendly Python interface buff.ly/3LG76Yp #GraphMachineLearning #Graphs
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TheOrbifold's profile picture. Graph visualization and graph analytics consulting.
Graphs & Networks
 @TheOrbifold
12 avr. 2023

You can now use PyTorch Geometric (PyG) on Graphcore IPUs to accelerate #GraphMachineLearning. buff.ly/3zSxVCc @PyG_Team

TheOrbifold's tweet image. You can now use PyTorch Geometric (PyG) on Graphcore IPUs to accelerate #GraphMachineLearning. buff.ly/3zSxVCc @PyG_Team
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TheOrbifold's profile picture. Graph visualization and graph analytics consulting.
Graphs & Networks
 @TheOrbifold
13 avr. 2023

Kùzu as a Pytorch Geometric (PyG) Remote Backend: you can now train PyG GNNs and other models directly using graphs (and node features) stored inside @kuzudb . buff.ly/3GGt8Yp #GraphMachineLearning #GraphDatabase

TheOrbifold's tweet image. Kùzu as a Pytorch Geometric (PyG) Remote Backend: you can now train PyG GNNs and other models directly using graphs (and node features) stored inside @kuzudb . buff.ly/3GGt8Yp #GraphMachineLearning #GraphDatabase
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sabyasachi_uni's profile picture. Research Scholar(IIT KGP)| Faculty| 2x TEDx Speaker| Vice Chair of IEEE CS SBC IIT Kharagpur| GDE| IISERian, IITian| Former CHANAKYA PhD Fellow
Sabyasachi Mukhopadhyay
 @sabyasachi_uni
16 nov.

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 janv. 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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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
30 août 2023

Peng Fang presenting our work ''Distributed Graph Embedding with Information-Oriented Random Walks'' @ #VLDB2023 #VLDB23. There will also be a poster session in the afternoon #GraphMachineLearning #DistributedGraphSystems Paper vldb.org/pvldb/vol16/p1… Blog big-graph-live.blogspot.com/2023/07/distri…

rijitK's tweet image. Peng Fang presenting our work ''Distributed Graph Embedding with Information-Oriented Random Walks'' @ #VLDB2023 #VLDB23. There will also be a poster session in the afternoon #GraphMachineLearning #DistributedGraphSystems Paper vldb.org/pvldb/vol16/p1… Blog big-graph-live.blogspot.com/2023/07/distri…
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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 oct. 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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HAF_tech's profile picture. أتحداك - اقترح لي كتاب خيال علمي، وقد قرأته بالفعل.
Hassan Al-Farhan
 @HAF_tech
26 janv.

Gemini Flash 2.0 really digs deep! Good thing it caught the flaws before reviewers did. Time to tighten those proofs! #GraphMachineLearning

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gastronomy's profile picture. addict to vibe coding and experimenting with various LLMs.
Tanat Tonguthaisri
@gastronomy
28 août 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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DazhuoQiu's profile picture. PhD at Department of Computer Science, Aalborg University.
Dazhuo Qiu
 @DazhuoQiu
13 févr. 2024

Our paper ''Generating Robust Counterfactual Witnesses for Graph Neural Networks'' by Dazhuo Qiu, Mengying Wang, Arijit Khan, and Yinghui Wu has been accepted at the 40th IEEE International Conference on Data Engineering (ICDE). #ICDE2024 #GraphMachineLearning #ExplainableAI.

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HAF_tech's profile picture. أتحداك - اقترح لي كتاب خيال علمي، وقد قرأته بالفعل.
Hassan Al-Farhan
 @HAF_tech
26 janv.

Gemini Flash 2.0 really digs deep! Good thing it caught the flaws before reviewers did. Time to tighten those proofs! #GraphMachineLearning

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

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 oct. 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 oct. 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 juil. 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 août 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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BotVanCS101's profile picture. //Bot account //For course CS101 //Assignment: collect and classify tweets
Bot Van
 @BotVanCS101
4 mai 2024

🕵️‍♀️ Explore #GraphMachineLearning for fraud detection with Node Classification! Dive into the world of #GraphML and see how it can help detect fraudulent activities. @Yelp #MachineLearning #memgraph #memgraphdb #graphdatabase #database memgraph.com/blog/4-reasons…

BotVanCS101's tweet card. Use graph databases to unify dispersed data, enhance real-time analysis, and scale efficiently with dynamic algorithms.
4 Reasons Why Graph Tech Is Great for Knowledge Graphs
Source: memgraph.com
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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 mai 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 janv. 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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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 mai 2024

Blog post (big-graph-live.blogspot.com/2024/05/genera…) for our #ICDE2024 #ICDE24 IEEE ICDE Conference paper on "Generating Robust Counterfactual Witnesses for Graph Neural Networks" - D. Qiu, M. Wang, A. Khan, and Y. Wu #GraphMachineLearning #GraphDataManagement #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
13 févr. 2024

stay tuned for the camera-ready of our #ICDE2024 #ICDE24 IEEE ICDE Conference paper on "Generating Robust Counterfactual Witnesses for Graph Neural Networks" 👇 #GraphMachineLearning #GraphDataManagement #ExplainableAI.

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BotVanCS101's profile picture. //Bot account //For course CS101 //Assignment: collect and classify tweets
Bot Van
 @BotVanCS101
8 avr. 2024

🕵️‍♀️ Explore #GraphMachineLearning for fraud detection with Node Classification! Dive into the world of #GraphML and see how it can help detect fraudulent activities. @Yelp #MachineLearning #memgraph #memgraphdb #graphdatabase #database memgraph.com/blog/4-reasons…

BotVanCS101's tweet card. Use graph databases to unify dispersed data, enhance real-time analysis, and scale efficiently with dynamic algorithms.
4 Reasons Why Graph Tech Is Great for Knowledge Graphs
Source: memgraph.com
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BotVanCS101's profile picture. //Bot account //For course CS101 //Assignment: collect and classify tweets
Bot Van
 @BotVanCS101
26 mars 2024

🕵️‍♀️ Explore #GraphMachineLearning for fraud detection with Node Classification! Dive into the world of #GraphML and see how it can help detect fraudulent activities. @Yelp #MachineLearning #memgraph #memgraphdb #graphdatabase #database memgraph.com/blog/4-reasons…

BotVanCS101's tweet card. Use graph databases to unify dispersed data, enhance real-time analysis, and scale efficiently with dynamic algorithms.
4 Reasons Why Graph Tech Is Great for Knowledge Graphs
Source: memgraph.com
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Aucun résultat pour "#graphmachinelearning"
sabyasachi_uni's profile picture. Research Scholar(IIT KGP)| Faculty| 2x TEDx Speaker| Vice Chair of IEEE CS SBC IIT Kharagpur| GDE| IISERian, IITian| Former CHANAKYA PhD Fellow
Sabyasachi Mukhopadhyay
 @sabyasachi_uni
16 nov.

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 janv. 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 oct. 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 janv. 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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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
30 août 2023

Peng Fang presenting our work ''Distributed Graph Embedding with Information-Oriented Random Walks'' @ #VLDB2023 #VLDB23. There will also be a poster session in the afternoon #GraphMachineLearning #DistributedGraphSystems Paper vldb.org/pvldb/vol16/p1… Blog big-graph-live.blogspot.com/2023/07/distri…

rijitK's tweet image. Peng Fang presenting our work ''Distributed Graph Embedding with Information-Oriented Random Walks'' @ #VLDB2023 #VLDB23. There will also be a poster session in the afternoon #GraphMachineLearning #DistributedGraphSystems Paper vldb.org/pvldb/vol16/p1… Blog big-graph-live.blogspot.com/2023/07/distri…
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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 mai 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 avr. 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 mars 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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