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.