Results 111 to 120 of about 468,662 (346)
DFedKG: Diffusion-Based Federated Knowledge Graph Completion
Data Science and EngineeringIn recent years, the task of knowledge graph completion has attracted significant attention from researchers. In practical scenarios, multi-source knowledge graph completion is quite common.
Chao Zhao +4 more
doaj +1 more source
FEBS Open Bio, EarlyView.Clinical analysis reveals significant dysregulation of FGFRL1 in esophageal cancer (EC) patients. RNAi‐coupled next‐generation sequencing (NGS) and in vitro study reveal FGFRL1‐mediated EC progression via EMT, PI3K/Akt, and Notch pathways. Functional assays confirm its role in tumor growth, migration, and invasion.
Aprajita Srivastava +3 more
wiley +1 more source
History Repeats: Overcoming Catastrophic Forgetting For Event-Centric Temporal Knowledge Graph Completion [PDF]
, 2023 Mehrnoosh Mirtaheri +2 more
openalex +1 more source
Finding Streams in Knowledge Graphs to Support Fact Checking
, 2017 The volume and velocity of information that gets generated online limits current journalistic practices to fact-check claims at the same rate. Computational approaches for fact checking may be the key to help mitigate the risks of massive misinformation ...
Ciampaglia, Giovanni Luca +3 more
core +1 more source
FEBS Open Bio, EarlyView.We investigated the toxicity of 12 active compounds commonly found in herbal weight loss supplements (WLS) using human liver and colon cell models. Epigallocatechin‐3‐gallate was the only compound showing significant toxicity. Metabolic profiling revealed protein degradation, disrupted energy and lipid metabolism suggesting that the inclusion of EGCG ...
Emily C. Davies +3 more
wiley +1 more source
Graph2Seq: Fusion Embedding Learning for Knowledge Graph Completion
IEEE Access, 2019 Knowledge Graph (KG) usually contains billions of facts about the real world, where a fact is represented as a triplet in the form of (head entity, relation, tail entity).
Weidong Li +4 more
doaj +1 more source
Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion
AAAI Conference on Artificial IntelligenceKnowledge Graphs (KGs) are structured data presented as directed graphs. Due to the common issues of incompleteness and inaccuracy encountered during construction and maintenance, completing KGs becomes a critical task.
Ling Ding +4 more
semanticscholar +1 more source
A Shared Ontology Approach to Semantic Representation of BIM Data [PDF]
, 2017 Architecture, engineering, construction and facility management (AEC-FM) projects involve a large number of participants that must exchange information and combine their knowledge for successful completion of a project.
Karshenas, Saeed, Niknam, Mehrdad
core +1 more source
FEBS Open Bio, EarlyView.CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point +7 more
wiley +1 more source
Improving Hyper-Relational Knowledge Graph Completion
, 2021 Different from traditional knowledge graphs (KGs) where facts are represented as entity-relation-entity triplets, hyper-relational KGs (HKGs) allow triplets to be associated with additional relation-entity pairs (a.k.a qualifiers) to convey more complex information.
Yu, Donghan, Yang, Yiming
openaire +2 more sources