Results 31 to 40 of about 8,738,264 (288)
Modeling the evolution of temporal knowledge graphs with uncertainty
CoRR, 2023 Forecasting future events is a fundamental challenge for temporal knowledge graphs (tKG). As in real life predicting a mean function is most of the time not sufficient, but the question remains how confident can we be about our prediction? Thus, in this work, we will introduce a novel graph neural network architecture (WGP-NN) employing (weighted ...
Soeren Nolting +2 more
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Complex Temporal Question Answering on Knowledge Graphs [PDF]
Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 2021 Question answering over knowledge graphs (KG-QA) is a vital topic in IR. Questions with temporal intent are a special class of practical importance, but have not received much attention in research. This work presents EXAQT, the first end-to-end system for answering complex temporal questions that have multiple entities and predicates, and associated ...
Zhen Jia 0002 +3 more
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Diachronic Embedding for Temporal Knowledge Graph Completion
Proceedings of the AAAI Conference on Artificial Intelligence, 2020 Knowledge graphs (KGs) typically contain temporal facts indicating relationships among entities at different times. Due to their incompleteness, several approaches have been proposed to infer new facts for a KG based on the existing ones–a problem known as KG completion.
Rishab Goel +3 more
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Exploiting a graphplan framework in temporal planning [PDF]
, 2003 Graphplan (Blum and Furst 1995) has proved a popular and successful basis for a succession of extensions. An extension to handle temporal planning is a natural one to consider, because of the seductively time-like structure of the layers in the plan ...
Maria Fox, Long, D., Fox, M., Derek Long
core +2 more sources
Applied Sciences, 2023 Temporal knowledge graph completion (TKGC) refers to the prediction and filling in of missing facts on time series, which is essential for many downstream applications.
Minwei Wen +3 more
doaj +1 more source
Uncertain Temporal Knowledge Graphs [PDF]
, 2020 . Temporal data can be found in various sources from patient histories, purchase histories, employee histories, to web logs. Recent advances in open information extraction have paved the way for automatic construction of knowledge graphs (kgs) from such ...
Melisachew Wudage Chekol +1 more
core
Anomaly Detection in Dynamic Graphs via Transformer
, 2021 Detecting anomalies for dynamic graphs has drawn increasing attention due to their wide applications in social networks, e-commerce, and cybersecurity. Recent deep learning-based approaches have shown promising results over shallow methods. However, they
Liu, Y +6 more
core +1 more source
Learning future terrorist targets through temporal meta-graphs
Scientific Reports, 2021 In the last 20 years, terrorism has led to hundreds of thousands of deaths and massive economic, political, and humanitarian crises in several regions of the world.
Gian Maria Campedelli +2 more
doaj +1 more source
Journal of Hydroinformatics, 2022 The world is transforming into a predominantly urban space, meaning that cities have to be ready to provide services, for instance, to ensure availability and sustainable management of water and sanitation for all.
Juan D. Rondón Díaz +1 more
doaj +1 more source
Selective Temporal Knowledge Graph Reasoning
Proceedings of the Language Resources and Evaluation ConferenceTemporal Knowledge Graph (TKG), which characterizes temporally evolving facts in the form of (subject, relation, object, timestamp), has attracted much attention recently. TKG reasoning aims to predict future facts based on given historical ones. However, existing TKG reasoning models are unable to abstain from predictions they are uncertain, which ...
Zhongni Hou +5 more
openaire +4 more sources