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language models and knowledge representations of knowledge graphs under the Pytorch environment are expected. Target data are written in English. Where to apply Website https://jrecin.jst.go.jp/seek
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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future. This post-doctoral position will investigate the use of knowledge graphs on automatically extracted metadata at a cross-disciplinary global scale. Using LLMs and traditional data engineering
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design discussions Perform literature reviews Prepare reports Compare data and historical records for trend verification Develop reference files, comparison charts, and graphs on research data Assist with
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The i3S laboratory (https
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research in discrete mathematics, deliver outstanding teaching, and support the development of undergraduate and postgraduate students. Research areas of interest include combinatorics, graph theory, design
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, global health, and artificial intelligence-assisted systems modeling. More information about the lab and its projects is available at https://gyorilab.github.io. About Khoury College We invite you to join
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graphs and network medicine • Translational data science for therapeutic discovery Primary Responsibilities: The Postdoctoral Research Associate is expected to lead and contribute to independent and
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Università degli Studi di Roma Tor Vergata - Dipartimento di Ingegneria dell'Impresa Mario Lucertini | Italy | 2 months ago
Description The project proposes a theoretical and methodological study on multi-relational modeling of large-scale social networks using graph representation learning techniques. The objective is to
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of continual graph learning. Continual graph learning studies how graph neural networks can learn from a sequence of evolving tasks, graphs, or distributions while retaining previously acquired knowledges