Results 91 to 100 of about 48,760 (297)

Integrate Temporal Graph Learning into LLM-based Temporal Knowledge Graph Model

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
openaire   +2 more sources

Maskless Fabrication of PLA‐Based Neural Arrays for CNS Recording and Stimulation

Advanced Materials Interfaces, EarlyView.
Biodegradable neural interfaces enable bidirectional communication with the CNS. Through electrochemical characterization, ageing tests with impedance monitoring, and in vivo validation, we assess the performance of PLA‐based epicortical and spinal implants.
Anna De Salvo, Federica Velluto, Ilenia Sergi, Michele Di Lauro, Verónica Barranco‐Maresca, Elena Alonso‐Calviño, Yasmina Hernández‐Martín, Juan Aguilar, Juliana M. Rosa, María C. Serrano, Carolina Giulia Ferroni, Federico Rondelli, Elisa López‐Dolado, Luciano Fadiga, Fabio Biscarini   +14 more
wiley   +1 more source

Review of construction and reasoning methods for knowledge graphs in coal mining domain

Gong-kuang zidonghua
Knowledge from diverse data sources in the coal mining domain is extracted to construct a knowledge network. Leveraging reasoning technologies, this network supports equipment fault diagnosis, real-time safety risk warnings and responses, disaster cause ...
LUO Xiangyu, HUA Ying, WANG Xiping, XIE Panshi, WU Yongping   +4 more
doaj   +1 more source

Multimodal Haptic Perception Through Synergistic Nanocomposite Sensor Arrays

Advanced Materials Technologies, EarlyView.
Multi‐modal fingertip haptics are advanced through a bioinspired &vertical‐via' electronic skin architecture. A confined PDMS/MWCNT/NiNP nanocomposite, sitting at the percolation threshold, enables tactile, thermal, and magnetic sensing. A unique via‐density gradient and dedicated &Un‐Touch' reference nodes provide robust spatial resolution and signal ...
Amos Bardea, Fernando Patolsky
wiley   +1 more source

Explainable Temporal Knowledge Graph Reasoning via Expressive Logic Rules [PDF]

Temporal Knowledge Graphs (TKGs) capture dynamic event behaviors with temporal information. However, existing TKG link prediction methods are predominantly embedding-based, lacking interpretability and transparency.
Wang, Z, Wang, K, Feng, Z, Wu, H, Zuo, J, Bao, X, Zhang, X   +6 more
core   +1 more source

Semantic Framework based Query Generation for Temporal Question Answering over Knowledge Graphs [PDF]

, 2023
Answering factual questions with temporal intent over knowledge graphs (temporal KGQA) attracts rising attention in recent years. In the generation of temporal queries, existing KGQA methods ignore the fact that some intrinsic connections between events ...
Li, Huayu, Qu, Yuzhong, Ding, Wentao, Chen, Hao   +3 more
core   +1 more source

Continuous-Time Dynamic Graph Networks Integrated with Knowledge Propagation for Social Media Rumor Detection

Mathematics
The proliferation of the Internet and mobile devices has made it increasingly easy to propagate rumors on social media. Widespread rumors can incite public panic and have detrimental effects on individuals.
Hui Li, Lanlan Jiang, Jun Li
doaj   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

Exploring Knowledge Engineering Strategies in Designing and Modelling a Road Traffic Accident Management Domain [PDF]

, 2013
Formulating knowledge for use in AI Planning engines is currently something of an ad-hoc process, where the skills of knowledge engineers and the tools they use may significantly influence the quality of the resulting planning application.
Chrpa, Lukáš, Vallati, Mauro, Kitchin, Diane, McCluskey, Thomas L., McCluskey, T.L., Shah, Mohammad Munshi Shahin, Kitchin, Diane E., Shah, Mohammad M.   +7 more
core  

FedMDKGE: Multi-granularity Dynamic Knowledge Graph Embedding in Federated Learning

International Journal of Computational Intelligence Systems
As knowledge is time-sensitive, some researchers have started to focus on dynamic knowledge graphs to provide time-dimensioned knowledge content thus reflecting richer information.
Wei Huang, Junling Chen, Dexian Wang, Pengfei Zhang, Jia Liu, Tianrui Li   +5 more
doaj   +1 more source