Results 61 to 70 of about 7,291,916 (317)
Embedding Uncertain Temporal Knowledge Graphs
Mathematics, 2023 Knowledge graph (KG) embedding for predicting missing relation facts in incomplete knowledge graphs (KGs) has been widely explored. In addition to the benchmark triple structural information such as head entities, tail entities, and the relations between
Tongxin Li +5 more
doaj +1 more source
Interpreting CNN Knowledge via an Explanatory Graph
, 2017 This paper learns a graphical model, namely an explanatory graph, which reveals the knowledge hierarchy hidden inside a pre-trained CNN. Considering that each filter in a conv-layer of a pre-trained CNN usually represents a mixture of object parts, we ...
Cao, Ruiming +4 more
core +1 more source
A Semantic Collaboration Method Based on Uniform Knowledge Graph [PDF]
, 2019 The Semantic Internet of Things is the extension of the Internet of Things and the Semantic Web, which aims to build an interoperable collaborative system to solve the heterogeneous problems in the Internet of Things.
Cao, Zehong +4 more
core +1 more source
When Radiology Report Generation Meets Knowledge Graph [PDF]
AAAI Conference on Artificial Intelligence, 2020 Automatic radiology report generation has been an attracting research problem towards computer-aided diagnosis to alleviate the workload of doctors in recent years.
Yixiao Zhang +5 more
semanticscholar +1 more source
Research About Knowledge Graph Completion Based on Active Learning
Jisuanji kexue yu tansuo, 2020 Knowledge graph completion focuses on how to improve the missing information in knowledge graph. Knowledge graph completion task has many applications, for example, it can be applied to the knowledge graph of rail transit system to support the system ...
CHEN Qinkuang, CHEN Ke, WU Sai, SHOU Lidan, CHEN Gang
doaj +1 more source
Towards a Knowledge Graph based Speech Interface
, 2017 Applications which use human speech as an input require a speech interface with high recognition accuracy. The words or phrases in the recognised text are annotated with a machine-understandable meaning and linked to knowledge graphs for further ...
Auer, Sören +3 more
core +1 more source
Why emerging leaders should focus on being good postdoctoral supervisors
FEBS Letters, EarlyView.Swamped with work and suddenly a new student is waiting at your doorstep for supervision? Great—this is your chance! In this article, we share tips on how postdocs can strengthen their leadership skills while supervising students. This image has been created using DALL·E. Many postdocs work as leaders later in their career.
Hannah Rostalski +5 more
wiley +1 more source
Graph Attention Networks With Local Structure Awareness for Knowledge Graph Completion
IEEE Access, 2020 Graph neural networks have been proven to be very effective for representation learning of knowledge graphs. Recent methods such as SACN and CompGCN, have achieved the most advanced results in knowledge graph completion.
Kexi Ji, Bei Hui, Guangchun Luo
doaj +1 more source
Knowledge Graph semantic enhancement of input data for improving AI
, 2020 Intelligent systems designed using machine learning algorithms require a large number of labeled data. Background knowledge provides complementary, real world factual information that can augment the limited labeled data to train a machine learning ...
Bhatt, Shreyansh +3 more
core +1 more source
Molecular Oncology, EarlyView.This study highlights the importance of multi‐omic analyses in characterizing colorectal cancers. Indeed, our analysis revealed a rare CMS1 exhibiting dampened immune activation, including reduced PD‐1 expression, moderate CD8+ T‐cell infiltration, and suppressed JAK/STAT pathway.
Livia Concetti +10 more
wiley +1 more source