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#graphmachinelearning Suchergebnisse

TheOrbifold's profile picture. Graph visualization and graph analytics consulting.
Graphs & Networks
 @TheOrbifold
07.03.2024

@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
30.01.2023

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
11.03.2023

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
30.04.2023

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
12.04.2023

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
13.04.2023

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
16.11.

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
09.10.2024

🔥 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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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
09.01.2024

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
30.08.2023

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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HAF_tech's profile picture. أتحداك - اقترح لي كتاب خيال علمي، وقد قرأته بالفعل.
Hassan Al-Farhan
 @HAF_tech
26.01.

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
28.08.2024

📢 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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TheOrbifold's profile picture. Graph visualization and graph analytics consulting.
Graphs & Networks
 @TheOrbifold
02.02.2023

The latest @Neo4j Graph Data Science v2.3 library has (finally) heterogeneous embeddings and an improved Python GDS library. #GraphMachineLearning buff.ly/3YAi1H5 buff.ly/3HOlHz8

TheOrbifold's tweet image. The latest @Neo4j Graph Data Science v2.3 library has (finally) heterogeneous embeddings and an improved Python GDS library. #GraphMachineLearning buff.ly/3YAi1H5 buff.ly/3HOlHz8
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HAF_tech's profile picture. أتحداك - اقترح لي كتاب خيال علمي، وقد قرأته بالفعل.
Hassan Al-Farhan
 @HAF_tech
26.01.

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
16.11.

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
09.10.2024

🔥 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
04.10.2024

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
30.07.2024

🌟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
28.08.2024

📢 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
04.05.2024

🕵️‍♀️ 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
Quelle: 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
03.05.2024

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
08.01.2024

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
03.05.2024

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
13.02.2024

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
08.04.2024

🕵️‍♀️ 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
Quelle: memgraph.com
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BotVanCS101's profile picture. //Bot account //For course CS101 //Assignment: collect and classify tweets
Bot Van
 @BotVanCS101
26.03.2024

🕵️‍♀️ 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
Quelle: memgraph.com
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Keine Ergebnisse für "#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
16.11.

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
09.01.2024

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
09.10.2024

🔥 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
10.01.2022

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
06.05.2020

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
26.04.2020

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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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
30.08.2023

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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TheOrbifold's profile picture. Graph visualization and graph analytics consulting.
Graphs & Networks
 @TheOrbifold
07.03.2024

@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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