Search results for #GraphDataManagement
Delighted to co-organize the 2nd edition of LLM+Graph workshop seucoin.github.io/workshop/llmg2…, co-located with #VLDB2025 #VLDB25 @VLDBconf - Yixiang Fang, Arijit Khan, Tianxing Wu, and Da Yan. Paper submission deadline: April 15, 2025 #LLM #GraphDataManagement #GraphML.
Sharing the preprint of our #SIGMODRecord paper "Graph Data Management and Graph Machine Learning: Synergies and Opportunities" arxiv.org/abs/2502.00529 #GraphML #GraphDataManagement
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
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
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👇
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
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
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.
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.
Consider submitting papers to LLM+KG workshop: Data Management Opportunities in Unifying Large Language Models + Knowledge Graphs, co-located w/ @VLDB2024, seucoin.github.io/workshop/llmkg/ [deadline: May 31, 2024] #VLDB24, #LargeLanguageModel, #KnowledgeGraph #GraphDataManagement #GraphML
Consider submitting papers to LLM+KG workshop: Data Management Opportunities in Unifying Large Language Models + Knowledge Graphs, co-located w/ @VLDB2024, seucoin.github.io/workshop/llmkg/ [deadline: May 31, 2024] #VLDB24, #LargeLanguageModel, #KnowledgeGraph #GraphDataManagement #GraphML
The website and call for papers of our workshop "LLM+KG: Data Management Opportunities in Unifying Large Language Models + Knowledge Graphs" at #VLDB2024 @pvldb @VLDBconf is up: seucoin.github.io/workshop/llmkg/ #VLDB24, #LargeLanguageModels, #KnowledgeGraphs #GraphDataManagement
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.
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.
2/2: Stay tuned on our call for workshop papers focusing on Data Management Opportunities in Unifying Large Language Models and Knowledge Graphs. #VLDB24 #VLDB2024 @pvldb @VLDBconf #LargeLanguageModels, #KnowledgeGraphs, #GraphDataManagement
2/2: Stay tuned on our call for workshop papers focusing on Data Management Opportunities in Unifying Large Language Models and Knowledge Graphs. #VLDB24 #VLDB2024 @pvldb @VLDBconf #LargeLanguageModels, #KnowledgeGraphs, #GraphDataManagement
1/2: Together with Prof. Tianxing Wu, Southeast University (tianxing-wu.github.io) and Dr. Xi Chen, Tencent (hualichenxi.github.io), our workshop proposal "LLM+KG" is accepted at #VLDB2024 @pvldb @VLDBconf #VLDB24. #LargeLanguageModels, #KnowledgeGraphs #GraphDataManagement
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
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
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
Our paper ''View-based Explanations for Graph Neural Networks'' by Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, and Yunjun Gao has been accepted at @SIGMODConf #SIGMOD2024 #SIGMOD24 #GraphMachineLearning #GraphDataManagement #DatabaseViews #ExplainableAI.
Our paper ''View-based Explanations for Graph Neural Networks'' by Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, and Yunjun Gao has been accepted at @SIGMODConf #SIGMOD2024 #SIGMOD24 #GraphMachineLearning #GraphDataManagement #DatabaseViews #ExplainableAI.
presentation and poster session of our paper "Neighborhood-based Hypergraph Core Decomposition" is happening today (31/08) at #VLDB2023 #VLDB23 Naheed Anjum Arafat paper: vldb.org/pvldb/vol16/p2… blog: big-graph-live.blogspot.com/2023/07/neighb… #HigherOrderNetworks #GraphDataManagement
[3/4] (b) "Neighborhood-based Hypergraph Core Decomposition" - Naheed Anjum Arafat, Arijit Khan, Arpit Kumar Rai, and Bishwamittra Ghosh. #GraphDataManagement #GraphMachineLearning #DistributedGraphSystems #PVLDB2023 #PVLDB23 #VLDB23 #VLDB2023