Results 71 to 80 of about 8,119,426 (288)

GreenKGC: A Lightweight Knowledge Graph Completion Method

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Knowledge graph completion (KGC) aims to discover missing relationships between entities in knowledge graphs (KGs). Most prior KGC work focuses on learning embeddings for entities and relations through a simple scoring function. Yet, a higher-dimensional embedding space is usually required for a better reasoning capability, which leads to a larger ...
Yuncheng Wang, Xiou Ge, Bin Wang 0040, C.-C. Jay Kuo   +3 more
openaire   +4 more sources

Embedding based Link Prediction for Knowledge Graph Completion [PDF]

, 2020
This thesis proposes a novel Knowledge Graph (KG) embedding model for Link Prediction (LP) for Knowledge Graph Completion (KGC). The missing links in a KG are predicted based on the existing contextual information as well as textual entity ...
Biswas, Russa
core   +1 more source

SPHINX31 acts as a SRPK1 inhibitor targeting the ATR/DNA‐PKcs/CHK1 replicative checkpoint to inhibit cell growth in non‐small cell lung cancer

Molecular Oncology, EarlyView.
The kinase SRPK1 directly interacts with the protein TOPBP1 and regulates the pre‐mRNA splicing of WIZ thereby contributing to the activation of the ATR/CHK1 replicative checkpoint in response to replicative stress. This allows cancer cells' genomic stability and survival.
Amani Shreim, Aurelie Genoux, Nadiia Zubchuk, Haoyang Zheng, Perla Salameh, Theo Ziegelmeyer, Fabien Dalonneau, Margot Rouchette, Christiane Oddou, Simona Miron, Helene Polveche, Adiilah Mamode Cassim, Carmen Garrido, Eleni Nikolakaki, Didier Auboeuf, Tao Jia, Sophie Zinn‐Justin, Beatrice Eymin   +17 more
wiley   +1 more source

Exploring Relational Semantics for Inductive Knowledge Graph Completion

, 2022
Knowledge graph completion (KGC) aims to infer missing information in incomplete knowledge graphs (KGs). Most previous works only consider the transductive scenario where entities are existing in KGs, which cannot work effectively for the inductive ...
Song, Zeliang, Sha, Ying, Sha, Y, Wang, Changjian, Pan, Shirui, Zhou, Xiaofei, Zhou, X, Dong, L, Dong, Linhua, Wang, C, Song, Z, Pan, S, Linhua Dong, Zeliang Song, Xiaofei Zhou, Ying Sha, Shirui Pan, Changjian Wang   +17 more
core   +1 more source

Triple Classification for Scholarly Knowledge Graph Completion [PDF]

, 2021
structured information representing knowledge encoded in scientific publications. With the sheer volume of published scientific literature comprising a plethora of inhomogeneous entities and relations to describe scientific concepts, these KGs are ...
Jaradeh, Mohamad Yaser, Singh, Kuldeep, Stocker, Markus, Auer, Sören   +3 more
core   +1 more source

Targeting the EpCAM‐AXL axis to overcome drug resistance in lung cancer

Molecular Oncology, EarlyView.
Lung cancer cells often evade therapy by hijacking signaling pathways. We reveal that cleaved EpCAM (sEpCAM) stabilizes the oncogenic protein AXL, driving NF‐κB and STAT3‐mediated chemoresistance. This EpCAM‐AXL axis identifies a high‐risk patient subset with poor prognosis.
Alexa Guerrero‐Alba, Mark Shacker, Timothy P. Fleming, Michael A. Smith, Ross M. Bremner, Narendra V. Sankpal   +5 more
wiley   +1 more source

USP7 inhibits FOXO1 activity in chronic lymphocytic leukaemia cells enhancing cell survival

Molecular Oncology, EarlyView.
CLL cells rely on BCR‐mediated signalling for survival and proliferation in part through suppression of FOXO1. FOXO1 activity is regulated by a plethora of post‐translational modifications including phosphorylation and ubiquitination. We demonstrated that dual inhibition of BCR signalling and the deubiquitinase USP7 activates FOXO1, modulating its ...
Hassan N.B. Almuhanna, Jodie Hay, Michael W. Moles, Lucy Clarke, Jennifer Cassels, Alison Sefcick, Alison M. McCaig, Heather G. Jørgensen, Alison M. Michie   +8 more
wiley   +1 more source

Knowledge graph completion method based on hyperbolic representation learning and contrastive learning

Egyptian Informatics Journal, 2023
Knowledge graph completion employs existing triples to deduce missing data, thereby enriching and enhancing graph completeness. Recent research has revealed that using hyperbolic representation learning in knowledge graph completion yields superior ...
Xiaodong Zhang, Meng Wang, Xiuwen Zhong, Feixu An   +3 more
doaj   +1 more source

From energy provision to protein synthesis: Tunnelling nanotubes as mediators of intercellular metabolic cooperation in cancer

FEBS Open Bio, EarlyView.
The cytoskeleton‐mediated transport of mitochondria via tunnelling nanotubes restores respiration, increases ATP production, rescues cells from apoptosis, activates the AKT/mTOR signalling pathway, promotes cell migration and invasiveness, contributes to cancer progression and treatment resistance.
Stanislava Martínková, Jan Trnka
wiley   +1 more source

Federated Learning FedLTailor: A Dynamic Weight Adjustment and Personalized Fusion Approach

IEEE Access
In this study, we primarily address the issue of uneven quality of client embeddings in existing federated learning frameworks for knowledge graph completion.
Hong Zheng, Shanqin Li
doaj   +1 more source