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. Recent works on knowledge graph question generation [4,5] have mainly focussed on multi-hop questions. This project aims at developing novel methods that jointly address the challenging, dual problem
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RAP opportunity at National Institute of Standards and Technology NIST Application of Knowledge Graphs to Materials Science and Engineering Location Material Measurement Laboratory, Materials
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properties are proved, refuted by counterexample, or reported as an explainable gap. All of it is written in a domain-specific language whose syntax trees and graphs we keep in a projectional editor (JetBrains
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indicator formulas correctly Design and build the database layer (schema and storage) and connect it directly to the RVI engine Migrate the graph representation from Neo4j to a Python-native structure
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Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No Offer Description Research on Knowledge Graphs, graph-based retrieval and trustworthy generative
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of probabilistic and extremal combinatorics, structural graph theory and algorithms. We study problems on discrete structures such as graphs, permutations, posets or set systems using probabilistic, structural and
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. During the PhD, you will work on topics at the intersection of probabilistic and extremal combinatorics, structural graph theory and algorithms. We study problems on discrete structures such as graphs
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knowledge graph from scientific papers and cognitive test questionnaire data, and second, to integrate the graph with transformer-based large language models and causal learning. This offers an explainable
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intended for a senior researcher with a highly specialized interdisciplinary profile at the interface of graph theory, combinatorics, exact graph algorithms, molecular graph analysis, cheminformatics, and
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Number 10267010007 Is the Job related to staff position within a Research Infrastructure? No Offer Description Mission: Develop a doctoral thesis on the mechanistic interpretability of graph neural