Results 111 to 120 of about 7,645,086 (295)

Knowledge Transfer for Out-of-Knowledge-Base Entities: Improving Graph-Neural-Network-Based Embedding Using Convolutional Layers

IEEE Access, 2020
Knowledge base completion (KBC) aims to predict missing information in a knowledge base. Most existing embedding-based KBC models assume that all test entities are available at training time.
Zhongqin Bi, Tianchen Zhang, Ping Zhou, Yongbin Li   +3 more
doaj   +1 more source

Adversarially regularized graph autoencoder for graph embedding

, 2018
© 2018 International Joint Conferences on Artificial Intelligence. All right reserved. Graph embedding is an effective method to represent graph data in a low dimensional space for graph analytics.
Jiang, Jing, Ruiqi Hu, Long, Guodong, Chengqi Zhang, Yao, Lina, Zhang, Chengqi, Hu, Ruiqi, Pan, S, Guodong Long, Jiang, J, Shirui Pan, Lina Yao, Long, G, Zhang, C, Yao, L, Pan, Shirui, Hu, R, Jing Jiang   +17 more
core   +1 more source

Knowledge Graph Embedding for Ecotoxicological Effect Prediction [PDF]

, 2019
Exploring the effects a chemical compound has on a species takes a considerable experimental effort. Appropriate methods for estimating and suggesting new effects can dramatically reduce the work needed to be done by a laboratory.
Jimenez-Ruiz, E., Hartig, Olaf, Tollefsen, Knut-Erik, Gandon, Fabien, Maleshkova, Maria,, Lefrançois, Maxime,, Svátek, Vojtěch,, On,, Myklebust, Erik Bryhn, Cruz, Isabel,, Svatek, Vojtech, Hartig, Olaf,, Wolf, R., Cruz, Isabel F., Gandon, Fabien,, Myklebust, E., Jimenez-Ruiz, Ernesto, Tollefsen, K. E., Song, Jie, Hogan, Aidan, Maleshkova, Maria, Cruz, Isabel, G, Fabien, Lefrançois, Maxime, Aidan, Hogan, Ghidini, Chiara,, Chen, J., Song, Jie,, Ghidini, Chiara, Wolf, Raoul, Hogan, Aidan,, Chen, Jiaoyan   +31 more
core   +1 more source

Thermoresponsive Soft and Self‐Anchoring Cuff Electrode for Chronic Peripheral Interfaces

Advanced Functional Materials, EarlyView.
A novel thermoresponsive, soft and self‐anchoring (TSSA) cuff electrode utilizing shape memory polymers achieves autonomous, sutureless peripheral nerve fixation. Driven by thermally induced pre‐strain and tissue adhesion, the device self‐closes and softens at body temperature, successfully minimizing mechanical mismatch. This adaptive platform ensures
Seungjun Lee, Byungwook Park, Jonghee Eun, Sohee Kim, Namsun Chou   +4 more
wiley   +1 more source

Bio‐Inspired Artificial Ionic Mechanoreceptor

Advanced Functional Materials, EarlyView.
A skin‐inspired artificial mechanoreceptor based on ionic interactions is presented for biomimetic tactile sensing. Pressure‐driven ionic redistribution within microfluidic channels generates a self‐powered electrical signal without external bias. The generated waveform exhibits mechanoreceptor‐like temporal features, including overshoot and undershoot,
Mohammad Akbari, Jeppe Don, Lasse A. N. Pedersen, John Noee, Rassoul Tabassian   +4 more
wiley   +1 more source

Anomalous behavior detection based on optimized graph embedding representation in social networks

Journal of King Saud University: Computer and Information Sciences
Anomalous behaviors in social networks can lead to privacy leaks and the spread of false information. In this paper, we propose an anomalous behavior detection method based on optimized graph embedding representation. Specifically, the user behavior logs
Ling Xing, Shiyu Li, Qi Zhang, Honghai Wu, Huahong Ma, Xiaohui Zhang   +5 more
doaj   +1 more source

Inducing Interpretability in Knowledge Graph Embeddings

CoRR, 2017
We study the problem of inducing interpretability in KG embeddings. Specifically, we explore the Universal Schema (Riedel et al., 2013) and propose a method to induce interpretability. There have been many vector space models proposed for the problem, however, most of these methods don't address the interpretability (semantics) of individual dimensions.
Chandrahas, Tathagata Sengupta, Cibi Pragadeesh, Partha P. Talukdar   +3 more
openaire   +3 more sources

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source

ComHA: Knowledge Graph Embedding Model Integrating Geometric Transformations and Hierarchical Structures [PDF]

Jisuanji gongcheng
Knowledge graph embedding technologies aim to convert complex semantic information into computationally efficient, low-dimensional vector representations.
LI Wenhao, ZHANG Dong, LI Guanyu
doaj   +1 more source

Advances in Solution‐Processed Textile Triboelectric Nanogenerators: Ink Formation, Processing Strategies, Applications, and Challenges

Advanced Functional Materials, EarlyView.
Advanced ink systems for solution‐processed textile triboelectric nanogenerators are systematically summarized, spanning conductive, tribo‐negative, and tribo‐positive layers. By connecting ink chemistry, deposition methods, and device function, the present review reveals the key governing principles of solution development and highlights practical ...
Xinlong Sun, Stephen Beeby
wiley   +1 more source