Results 11 to 20 of about 8,905,265 (199)

Integrate Temporal Graph Learning into LLM-based Temporal Knowledge Graph Model [PDF]

emporal Knowledge Graph Forecasting (TKGF) aims to predict future events based on the observed events in history. Recently, Large Language Models (LLMs) have exhibited remarkable capabilities, generating significant research interest in their application for reasoning over temporal knowledge graphs (TKGs).
He Chang, Jie Wu, Zhulin Tao, Yunshan Ma 0002, Xianglin Huang, Tat-Seng Chua   +5 more
core   +6 more sources

Temporal graph memory networks for knowledge tracing

Knowledge and Information Systems
Abstract Tracing a student's knowledge growth given the past exercise answering is a vital objective in automatic tutoring systems to customize the learning experience. Yet, achieving this objective is a non-trivial task as it involves modeling the knowledge state across multiple knowledge components (KCs) while considering their ...
Seif Gad, Sherif M. Abdelfattah, Ghodai M. Abdelrahman   +2 more
openaire   +3 more sources

Learning multi-graph structure for Temporal Knowledge Graph reasoning [PDF]

Expert Systems with Applications
Temporal Knowledge Graph (TKG) reasoning that forecasts future events based on historical snapshots distributed over timestamps is denoted as extrapolation and has gained significant attention. Owing to its extreme versatility and variation in spatial and temporal correlations, TKG reasoning presents a challenging task, demanding efficient capture of ...
Jinchuan Zhang, Bei Hui, Chong Mu, Ling Tian   +3 more
openaire   +4 more sources

Knowledge graph embeddings: open challenges and opportunities [PDF]

, 2023
While Knowledge Graphs (KGs) have long been used as valuable sources of structured knowledge, in recent years, KG embeddings have become a popular way of deriving numeric vector representations from them, for instance, to support knowledge graph ...
Russa Biswas, Lucie-Aim('e)e Kaffee, Matteo Lissandrini, Gerard (de Melo), Heiko Paulheim, Michael Cochez, Harald Sack, Stefania Dumbrava (Theis E) Jendal, Vanessa Lopez (Eneldo Loza) Menc('i)a, Vakaj (Edlira Kalemi)   +9 more
core   +3 more sources

Jumping Knowledge Based Spatial-Temporal Graph Convolutional Networks for Automatic Sleep Stage Classification [PDF]

, 2022
A novel jumping knowledge spatial-temporal graph convolutional network (JK-STGCN) is proposed in this paper to classify sleep stages. Based on this method, different types of multi-channel bio-signals, including electroencephalography (EEG ...
Ji, Xiaopeng, Wen, Peng, Li, Yan
core   +1 more source

Temporal knowledge graph reasoning triggered by memories

Applied Intelligence, 2023
Inferring missing facts in temporal knowledge graphs is a critical task and has been widely explored. Extrapolation in temporal reasoning tasks is more challenging and gradually attracts the attention of researchers since no direct history facts for prediction.
Mengnan Zhao 0001, Lihe Zhang, Yuqiu Kong, Baocai Yin   +3 more
openaire   +3 more sources

Question Answering Over Temporal Knowledge Graphs [PDF]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021
Temporal Knowledge Graphs (Temporal KGs) extend regular Knowledge Graphs by providing temporal scopes (start and end times) on each edge in the KG. While Question Answering over KG (KGQA) has received some attention from the research community, QA over Temporal KGs (Temporal KGQA) is a relatively unexplored area.
Apoorv Saxena, Soumen Chakrabarti, Partha P. Talukdar   +2 more
openaire   +4 more sources

ChatKG: Visualizing Temporal Patterns as Knowledge Graph [PDF]

, 2023
Line-chart visualizations of temporal data enable users to identify interesting patterns for the user to inquire about. Using oracles, such as chat AIs, Visual Analytic tools can automatically uncover explicit knowledge related information to said ...
Christino, Leonardo, Paulovich, Fernando V.   +1 more
core   +2 more sources

Spatio-Temporal Graph for Video Captioning With Knowledge Distillation [PDF]

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
CVPR ...
Boxiao Pan, Haoye Cai, De-An Huang, Kuan-Hui Lee, Adrien Gaidon, Ehsan Adeli 0001, Juan Carlos Niebles   +6 more
openaire   +5 more sources

Event-Centric Temporal Knowledge Graph Construction: A Survey

Mathematics, 2023
Textual documents serve as representations of discussions on a variety of subjects. These discussions can vary in length and may encompass a range of events or factual information.
Timotej Knez, Slavko Žitnik
doaj   +1 more source