Results 71 to 80 of about 7,291,916 (317)
Research and application practice of knowledge graph technology system for telecom-operators
Dianxin kexue, 2022 Knowledge graph plays an important role in knowledge search, work order processing, intelligent service, fault analysis and other fields of China Mobile business and maintenance scenario.The knowledge graph technology system of China Mobile was ...
Dongming ZHAO
doaj +2 more sources
ArCo: the Italian Cultural Heritage Knowledge Graph
, 2019 ArCo is the Italian Cultural Heritage knowledge graph, consisting of a network of seven vocabularies and 169 million triples about 820 thousand cultural entities.
A Gangemi +14 more
core +1 more source
Molecular Oncology, EarlyView.Analysis of treatment‐naïve high‐grade serous ovarian carcinoma (HGSOC) and control tissues for ERVs, LINE‐1 (L1), inflammation, and immune checkpoints identified five clusters with diverse patient recurrence‐free survivals. An inflammation score was calculated and correlated with retroelement expression, where one novel cluster (Triple‐I) with high ...
Laura Glossner +6 more
wiley +1 more source
KBGAN: Adversarial Learning for Knowledge Graph Embeddings
, 2018 We introduce KBGAN, an adversarial learning framework to improve the performances of a wide range of existing knowledge graph embedding models. Because knowledge graphs typically only contain positive facts, sampling useful negative training examples is ...
Cai, Liwei, Wang, William Yang
core +1 more source
propnet: A Knowledge Graph for Materials Science [PDF]
, 2020 Discovering the ideal material for a new application involves determining its numerous properties, such as electronic, mechanical, or thermodynamic, to match those of its desired application.
Dwaraknath, S +7 more
core +1 more source
Decrypting cancer's spatial code: from single cells to tissue niches
Molecular Oncology, EarlyView.Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik +4 more
wiley +1 more source
Emerging role of ARHGAP29 in melanoma cell phenotype switching
Molecular Oncology, EarlyView.This study gives first insights into the role of ARHGAP29 in malignant melanoma. ARHGAP29 was revealed to be connected to tumor cell plasticity, promoting a mesenchymal‐like, invasive phenotype and driving tumor progression. Further, it modulates cell spreading by influencing RhoA/ROCK signaling and affects SMAD2 activity. Rho GTPase‐activating protein
Beatrice Charlotte Tröster +3 more
wiley +1 more source
NetLSD: Hearing the Shape of a Graph
, 2018 Comparison among graphs is ubiquitous in graph analytics. However, it is a hard task in terms of the expressiveness of the employed similarity measure and the efficiency of its computation.
Bronstein, Alex +4 more
core +1 more source
Graph-Embedding Empowered Entity Retrieval
, 2020 In this research, we improve upon the current state of the art in entity retrieval by re-ranking the result list using graph embeddings. The paper shows that graph embeddings are useful for entity-oriented search tasks.
D Metzler +7 more
core +1 more source
TuckER: Tensor Factorization for Knowledge Graph Completion [PDF]
Conference on Empirical Methods in Natural Language Processing, 2019 Knowledge graphs are structured representations of real world facts. However, they typically contain only a small subset of all possible facts. Link prediction is a task of inferring missing facts based on existing ones.
Ivana Balazevic +2 more
semanticscholar +1 more source