Results 131 to 140 of about 7,645,086 (295)

DFedKG: Diffusion-Based Federated Knowledge Graph Completion

Data Science and Engineering
In 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, Yurong Cheng, Boyang Li, Yi Yang, Xue Wang   +4 more
doaj   +1 more source

Graph Homomorphism Revisited for Graph Matching [PDF]

, 2010
In a variety of emerging applications one needs to decide whether a graph G matches another Gp, i.e., whether G has a topological structure similar to that of Gp. The traditional notions of graph homomorphism and isomorphism often fall short of capturing
Li, Jianzhong, Ma, Shuai, Fan, Wenfei; id_orcid, Wu, Yinghui, Wang, Hongzhi   +4 more
core  

Polyphenol‐Inspired Materials for Agricultural Applications

Advanced Materials, EarlyView.
This review outlines the use of polyphenol‐inspired materials for sustainable agriculture, highlighting their molecular design, interfacial assembly, structure–property relationships, and prospects toward precision agriculture, climate resilience, ecosystem protection, and circular bioeconomy strategies.
Haofu Liu, Omid Mazaheri, Zhixing Lin, Tianzheng Wang, Jingqu Chen, Yuang Gu, Xia Liang, Deli Chen, Frank Caruso   +8 more
wiley   +1 more source

Review of Inorganic Separator Engineering for Next‐Generation Lithium–Sulfur Batteries: Compromise or Cornerstone?

Advanced Materials, EarlyView.
Inorganic compound‐modified separators transform lithium–sulfur batteries from passive polysulfide confinement to active reaction‐pathway regulation. A Practical Relevance Index (PRI)‐guided framework bridges interfacial chemistry of inorganic separators with practical constraints, establishing unified design principles for scalable, high‐energy ...
Yuting Qin, Tianyi Wang, Xingyu Wang, Kaifu Xu, Yuzhou Wang, Chengyin Wang, Bing Sun, Guoxiu Wang   +7 more
wiley   +1 more source

Understanding Impact of Graph Structure on Knowledge Graph Embedding [PDF]

The effectiveness of a deployed knowledge graph is commonly evaluated with defined use-cases from domain experts. This poses challenges during the development cycle in determining how to represent data.
Dave, Brandon
core   +2 more sources

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

Weighted Knowledge Graph Embedding

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Zhao Zhang 0011, Zhanpeng Guan, Fuwei Zhang, Fuzhen Zhuang, Zhulin An, Fei Wang 0014, Yongjun Xu 0001   +6 more
openaire   +2 more sources

Piezoresistivity Enhancement by Graphite Flake Alignment in Thin Composite Films for Dielectric Elastomer Switches

Advanced Robotics Research, EarlyView.
This article presents dielectric elastomer switch (DES) materials, based on composite thin films. Alignment of graphite flakes due to their physical confinement within the thin films lead to much stronger piezoresistive responses than bulk composites, while their durability exceeds that of conventional liquid‐based DES materials.
Lingyu Liu, Thomas Kister, Bart‐Jan Niebuur, Tobias Kraus   +3 more
wiley   +1 more source

Subsampling for Knowledge Graph Embedding Explained

, 2022
In this article, we explain the recent advance of subsampling methods in knowledge graph embedding (KGE) starting from the original one used in word2vec.Comment: Notes for subsampling methods in Knowledge Graph ...
Kamigaito, Hidetaka, Hayashi, Katsuhiko
core  

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source