Top Tweets for #graphmachinelearning
presented our works themed #GNNExplainers2.0 towards usable and data-driven explanations for AI models at the #Stanford Graph Learning workshop.
#ExplainableAI #ResponsibleAI #GraphMachineLearning #GraphDataScience
The preprint of our KDD25 paper "Finding Counterfactual Evidences for Node Classification" is now available at: https://t.co/Prh1jGIhFa @DazhuoQiu @FrancescoBonchi @kdd_news #KDD25 #KDD2025 #ExplainableAI #GraphMachineLearning #Counterfactual
Thrilled to get our research paper accepted at #KDD25 #KDD2025 @acmsigkdd "Finding Counterfactual Evidences for Node Classification" - Dazhuo Qiu @DazhuoQiu , Jinwen Chen, Arijit Khan, Yan Zhao, Francesco Bonchi @FrancescoBonchi. Stay tuned for the camera ready!
🫀���️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
Extracting Alpha from Financial Analyst Networks https://t.co/BtlUZehvCz via @YouTube #nosacapital #machinelearning #graphattentionnetworks #tradingstrategy #graphmachinelearning
Extracting Alpha from Financial Analyst Networks https://t.co/DP70CMj6AP via @YouTube #nosacapital #machinelearning #graphattentionnetworks #tradingstrategy #graphmachinelearning
From our sister channel:
Extracting Alpha from Financial Analyst Networks https://t.co/vT3D84iIzq via @YouTube #nosacapital #machinelearning #graphattentionnetworks #tradingstrategy #graphmachinelearning
From our sister channel:
Extracting Alpha from Financial Analyst Networks https://t.co/jWAUyKZyDq via @YouTube #nosacapital #machinelearning #graphattentionnetworks #tradingstrategy #graphmachinelearning
From our sister channel:
Extracting Alpha from Financial Analyst Networks https://t.co/jWAUyKZyDq via @YouTube #nosacapital #machinelearning #graphattentionnetworks #tradingstrategy #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
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
Thanks to Mr. Kishalay Das for his wonderful lab session on the 'Graph Machine Learning' on the eve of the 5-Day Mid Career Training Program (#MCTP) on the Foundation Course on Artificial Intelligence and Big Data for ISS officers at IIT Kharagpur on November 13.
@kishalaydaskd
Understanding #GraphMachineLearning in the Era of Large Language Models (#LLMs) https://t.co/l21lZ7y7Vi
🔥 Read our Highly Cited Paper
📚Prediction of Water Leakage in Pipeline Networks Using Graph Convolutional Network Method
🔗https://t.co/L7oTE4kljS
👨🔬 by Dr. Ersin Şahin et al.
#graphconvolutionalnetwork #graphmachinelearning
A preprint of our workshop report ''LLM+KG: Data Management Opportunities in Unifying Large Language Models+Knowledge Graphs'' is available here: https://t.co/NPokY3GlPy
#LLMs #KnowledgeGraphs #GraphMachineLearning #GraphDataManagement #GraphRAG #VLDB24 #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: https://t.co/oYaee8EbbZ
📢 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: https://t.co/VYFASLJ7os #graphmachinelearning #LLMs #TEAGLM
Our list of accepted papers can be found here: https://t.co/10DH8LbiCf More details on the program to follow soon :) #VLDB24 #VLDB2024 #LLM #KnowledgeGraphs #AI #GraphMachineLearning
🌟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: https://t.co/oYaee8EbbZ
1. We'll present the following papers @#ICDE2024 #ICDE24 about how data management techniques can be used to generate user-friendly, interactive, configurable, and robust explanations for graph neural networks (#GNNs).
#GraphMachineLearning #GraphDataManagement #ExplainableAI👇
🕵️♀️ 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 https://t.co/7EbDm4Gu8l
Blog post (https://t.co/7CgOHztzKr) 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
Find the preprint https://t.co/WcojyylRMH of our paper ''View-based Explanations for Graph Neural Networks'' accepted at @SIGMODConf
#SIGMOD2024 #SIGMOD24 #GraphMachineLearning #GraphDataManagement #DatabaseViews #ExplainableA
Blog post (https://t.co/Ufu7A6DZZU) 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.
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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