Hasil Pencarian: "#GraphMachineLearning"

20 hasil
Alexander Jenkins
Alexander Jenkins@alj_jenkins·
🫀❤️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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Arijit K
Arijit K@rijitK·
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
VLDB 2024@VLDB2024

🌟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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Arijit K
Arijit K@rijitK·
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
Arijit K@rijitK

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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Arijit K
Arijit K@rijitK·
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.
Arijit K@rijitK

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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Arijit K
Arijit K@rijitK·
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.
Dazhuo Qiu@DazhuoQiu

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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Dazhuo Qiu
Dazhuo Qiu@DazhuoQiu·
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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Arijit K
Arijit K@rijitK·
Had a great poster session at #D3A. If you are working on #GraphMachineLearning, #ExplainableAI, #GNN, come to our tomorrow's talk at 'MACHINE LEARNING THEORY'' workshop between 10.30-12.00, Feb 2 (2024), ROOM: Auditorium, Nyborg Strand Hotel, Østerøvej 2, 5800 Nyborg.
Pioneer Centre for AI@AiCentreDK

Great start for D3A 1.0!🤩500+ professionals unite for two days of inspiration on AI, data science and digitalization at Hotel Nyborg Strand. Keynote by prof. Mor Naaman highlights AI’s impact on human communication. Stay tuned for more insights! #D3A

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Arijit K
Arijit K@rijitK·
2/2: Thanks @OleWinther1 , @christian_igel and Yi-Shan WU for the invite. The talk will happen between 10.30-12.00, Feb 2 (2024), ROOM: Auditorium, Nyborg Strand Hotel, Østerøvej 2, 5800 Nyborg. Join if you are around. #GraphMachineLearning, #ExplainableAI @AiCentreDK
Arijit K@rijitK

1/2: Excited that I'll give an invited talk on graph neural network explainability at 'MACHINE LEARNING THEORY'' workshop, co-located with D3A– Danish Digitalization, Data Science and AI conference 2024 @AiCentreDK. #GraphMachineLearning, #ExplainableAI. d3aconference.dk/program/

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Arijit K
Arijit K@rijitK·
1/2: Excited that I'll give an invited talk on graph neural network explainability at 'MACHINE LEARNING THEORY'' workshop, co-located with D3A– Danish Digitalization, Data Science and AI conference 2024 @AiCentreDK. #GraphMachineLearning, #ExplainableAI. d3aconference.dk/program/
Arijit K@rijitK

We'll present a poster on "Explainability Methods for GNNs: Towards Usability, Robustness, and Benchmarking" @ D3A – Danish Digitalization, Data Science and AI conference 2024. #GraphMachineLearning, #GraphDataManagement #ExplainableAI ddsa.dk/annual-confere… @DataScienceDK

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