Results 111 to 120 of about 48,760 (297)
The cat's cradle network [PDF]
In this paper we will argue that the representation of context in knowledge management is appropriately served by the representation of the knowledge networks in an historicised form.
Hobbs, V.J. +5 more
core +2 more sources
Towards Temporal Knowledge Graph Alignment in the Wild
Temporal Knowledge Graph Alignment (TKGA) seeks to identify equivalent entities across heterogeneous temporal knowledge graphs (TKGs) for fusion to improve their completeness. Although some approaches have been proposed to tackle this task, most assume unified temporal element standards and simplified temporal structures across different TKGs.
Runhao Zhao +5 more
openaire +2 more sources
Our study reveals the protective role of GPR124 in maintaining BBB integrity and promoting neurological recovery following TBI. It makes a significant contribution by uncovering a novel molecular interaction between GPR124 and FGFBP1 and linking this to activation of the Wnt/β‐catenin signaling pathway in vascular repair mechanisms.
Chen Wang +13 more
wiley +1 more source
Liu et al. define a systems‐level interactome of fibroadipogenic progenitor (FAP)‐mediated signaling in skeletal muscle by integrating single‐cell transcriptomics with FAP depletion‐based perturbation analysis. Functional interrogation using a conditioned media bioassay links predicted signaling to multicellular outcomes, establishing a framework to ...
Xingyu Liu +13 more
wiley +1 more source
QLGAN: a quantum-lineage graph attention network for temporal knowledge graph entity alignment
Temporal entity alignment, the task of identifying equivalent entities across evolving knowledge graphs (KGs), is a critical yet challenging problem. Existing methods often struggle to holistically model the complex interplay between structural topology ...
Jia Li, Yuxi Ma, Lingzhong Meng
doaj +1 more source
Knowledge Graph and Pre-Trained Model-Based HVDC Fault Diagnosis and Operation and Maintenance Decision-Making Technology [PDF]
[Objective] Intelligent operation and maintenance (O&M) of high voltage direct current (HVDC) systems face critical challenges, including insufficient accuracy in state assessment, limited predictive foresight in risk assessment, and poor real-time ...
ZHANG Shihong, LI Qiang, CAO Shenghui, LI Yingfei, MA Yue, GAO Yujie, YANG Bo
doaj +1 more source
Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu +7 more
wiley +1 more source
A multimodal intravital imaging platform enables longitudinal tracking of human cortical organoids transplanted into chronic stroke lesions. By combining surgical microscopy, MRI, bioluminescence imaging, and two‐photon fluorescence microscopy, the platform captures graft placement, viability dynamics, and cellular‐scale morphology in vivo, offering a ...
Jinghui Wang +12 more
wiley +1 more source
Mining and Managing Large-Scale Temporal Graphs [PDF]
Large-scale temporal graphs are everywhere in our daily life. From online social networks, mobile networks, brain networks to computer systems, entities in these large complex systems communicate with each other, and their interactions evolve over time ...
Zong, Bo
core
Network Intrusion Detection With Spatial and Temporal Knowledge Graphs and Semi-Supervised Learning
As the Internet of Things (IoT), Industrial Internet of Things (IIoT), and Cloud Computing continue to drive exponential growth in network connectivity, cyber-attacks targeting these networks are also increasing at an alarming rate.
Asanka Kavinda Mananayaka +1 more
doaj +1 more source

