Results 31 to 40 of about 48,760 (297)
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
openaire +2 more sources
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications [PDF]
, 2021 | openaire: EC/H2020/101016775/EU//INTERVENEHuman knowledge provides a formal understanding of the world. Knowledge graphs that represent structural relations between entities have become an increasingly popular research direction toward cognition and ...
Ji, S +10 more
core +1 more source
Few-shot temporal knowledge graph completion based on meta-optimization
Complex & Intelligent Systems, 2023 Knowledge Graphs (KGs) have become an increasingly important part of artificial intelligence, and KGs have been widely used in artificial intelligence fields such as intelligent answering questions and personalized recommendation.
Lin Zhu +3 more
doaj +1 more source
When convolutional network meets temporal heterogeneous graphs: an effective community detection method [PDF]
, 2023 Community detection has long been an important yet challenging task to analyze complex networks with a focus on detecting topological structures of graph data.
Zhang, Xinni +5 more
core +1 more source
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
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
openaire +3 more sources
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
Evolution of cooperation on dynamical graphs [PDF]
, 2009 There are two key characteristic of animal and human societies: (1) degree heterogeneity, meaning that not all individual have the same number of associates; and (2) the interaction topology is not static, i.e.
Scheuring, I. +3 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