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https://openreview.net/forum?id=1G7CBp8o7L Adapting Neural Link Predictors for Data-Efficient Complex Query Answering | OpenReview Answering complex queries on incomplete knowledge graphs is a challenging task where a model needs to answer complex logical queries in the presence of missing... neural linkfor dataquery answeringadaptingpredictors https://fqas.org/ FQAS - International Conference on Flexible Query Answering Systems May 7, 2026 - FQAS.org is the general page of the International Conference on Flexible Query Answering Systems, being held every second year. international conferencequery answeringfqasflexiblesystems https://www.slideserve.com/ardith/join-synopses-for-approximate-query-answering-powerpoint-ppt-presentation PPT - Join Synopses for Approximate Query Answering PowerPoint Presentation - ID:1106501 Learn how join synopses revolutionize query answering by providing fast, approximate results for complex queries. Dive into Aqua system architecture and... query answeringpowerpoint presentationpptjoinsynopses https://www.fqas2019.units.it/ 13th International Conference on Flexible Query Answering Systems (FQAS 2019) 13th international conferencequery answeringflexiblesystemsfqas https://easychair.org/publications/paper/P85 Satisfiability Checking and Query Answering for Large Ontologies query answeringsatisfiabilitycheckinglargeontologies https://arxiv.org/abs/2011.03459v1 [2011.03459v1] Complex Query Answering with Neural Link Predictors Abstract page for arXiv paper 2011.03459v1: Complex Query Answering with Neural Link Predictors query answeringneural link2011complexpredictors https://anr.fr/Project-ANR-19-CE48-0019 Efficient Query answering Under UpdateS | ANR Efficient query answering, i.e., computing the answer to a query on a given database, is one of the core problems studied in database theory. It is a very... query answeringefficientupdatesanr https://openreview.net/forum?id=x1nXBzUknn DAGE: DAG Query Answering via Relational Combinator with Logical Constraints | OpenReview Predicting answers to queries over knowledge graphs is called a complex reasoning task because answering a query requires subdividing it into subqueries.... query answeringdagevia https://openreview.net/forum?id=qQnO1HLQHe Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints |... Querying knowledge graphs (KGs) using deep learning approaches can naturally leverage the reasoning and generalization ability to learn to infer better... query answeringknowledge graphcomplexeventuality https://aclanthology.org/2022.emnlp-main.122/ Semantic Framework based Query Generation for Temporal Question Answering over Knowledge Graphs -... Wentao Ding, Hao Chen, Huayu Li, Yuzhong Qu. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022.