云南高校图书馆联盟文献共享服务平台- GRAPH

GRAPH: 作品数：2064被引量：2445H指数：15; 导出分析报告; 相关领域：自动化与计算机技术更多>>; 相关作者：林梦香朱群雄顾祥柏赖宗英李炯生更多>>; 相关机构：华中师范大学北京航空航天大学中国科学技术大学上海交通大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划国家教育部博士点基金国家高技术研究发展计划更多>>

Soft-GNN:towards robust graph neural networks via self-adaptive data utilization: 《Frontiers of Computer Science》2025年第4期1-12,共12页Yao WU Hong HUANG Yu SONG Hai JIN; supported by the National Natural Science Foundation of China(Grant No.62127808).; Graph neural networks(GNNs)have gained traction and have been applied to various graph-based data analysis tasks due to their high performance.However,a major concern is their robustness,particularly when faced with g...; 关键词：graph neural networks node classification label noise robustness

Cyclical Training Framework with Graph Feature Optimization for Knowledge Graph Reasoning: 《Computers, Materials & Continua》2025年第5期1951-1971,共21页Xiaotong Han Yunqi Jiang Haitao Wang Yuan Tian; supported by the National Key Research and Development Program of China(No.2023YFF0905400);the National Natural Science Foundation of China(No.U2341229).; Knowledge graphs(KGs),which organize real-world knowledge in triples,often suffer from issues of incompleteness.To address this,multi-hop knowledge graph reasoning(KGR)methods have been proposed for interpretable know...; 关键词：Knowledge graph reinforcement learning TRANSFORMER

Integration of Federated Learning and Graph Convolutional Networks for Movie Recommendation Systems: 《Computers, Materials & Continua》2025年第5期2041-2057,共17页Sony Peng Sophort Siet Ilkhomjon Sadriddinov Dae-Young Kim Kyuwon Park Doo-Soon Park; funded by Soonchunhyang University,Grant Numbers 20241422;BK21 FOUR(Fostering Outstanding Universities for Research,Grant Number 5199990914048).; Recommendation systems(RSs)are crucial in personalizing user experiences in digital environments by suggesting relevant content or items.Collaborative filtering(CF)is a widely used personalization technique that lever...; 关键词：Recommendation systems collaborative filtering graph convolutional networks federated learning framework

结合全局信息和局部信息的三维网格分割框架: 《浙江大学学报(工学版)》2025年第5期912-919,共8页张梦瑶周杰李文婷赵勇; 山东省自然科学基金:资助项目(ZR2018MF006);浙江大学CAD&CG国家重点实验室开放课题资助项目(A2228);青岛市自然科学基金:资助项目(23-2-1-158-zyyd-jch)。; 针对Graph Transformer比较擅长捕获全局信息,但对局部精细信息的提取不够充分的问题,将图卷积神经网络(GCN)引入Graph Transformer中,得到Graph Transformer and GCN (GTG)模块,构建了能够结合全局信息和局部信息的网格分割框架. GTG...; 关键词：三维网格网格分割 Graph Transformer 图卷积神经网络(GCN) 边缘保持的粗化算法

Priority-Aware Resource Allocation for VNF Deployment in Service Function Chains Based on Graph Reinforcement Learning: 《Computers, Materials & Continua》2025年第5期1649-1665,共17页Seyha Ros Seungwoo Kang Taikuong Iv Inseok Song Prohim Tam Seokhoon Kim; supported by Institute of Information&Communications Technology Planning and Evaluation(IITP)grant funded by the Korean government(MSIT)(No.RS-2022-00167197,Development of Intelligent 5G/6G Infrastructure Technology for the Smart City);in part by the National Research Foundation of Korea(NRF),Ministry of Education,through the Basic Science Research Program under Grant NRF-2020R1I1A3066543;in part by BK21 FOUR(Fostering Outstanding Universities for Research)under Grant 5199990914048;in part by the Soonchunhyang University Research Fund.; Recently,Network Functions Virtualization(NFV)has become a critical resource for optimizing capability utilization in the 5G/B5G era.NFV decomposes the network resource paradigm,demonstrating the efficient utilization...; 关键词：Deep reinforcement learning graph neural network multi-access edge computing network functions virtualization software-defined networking

Attention-Enhanced and Knowledge-Fused Dual Item Representations Network for Recommendation: 《Tsinghua Science and Technology》2025年第2期585-599,共15页Qiang Hua Jiachao Zhou Feng Zhang Chunru Dong Dachuan Xu; supported by the Beijing Natural Science Foundation(No.Z200002);the Innovation Capacity Enhancement Program-Science and Technology Platform Project,Hebei Province(No.22567623H);the Chern Institute of Mathematics,Nankai University.; Integrating Knowledge Graphs(KGs)into recommendation systems as supplementary information has become a prevalent strategy.By leveraging the semantic relationships between entities in KGs,recommendation systems can bet...; 关键词：Recommender System(RS) Knowledge Graph(KG) Graph Neural Networks(GNN) attention mechanism

DPN:Dynamics Priori Networks for Radiology Report Generation: 《Tsinghua Science and Technology》2025年第2期600-609,共10页Bokai Yang Hongyang Lei Huazhen Huang Xinxin Han Yunpeng Cai; supported by the Strategic Priority Research Program of Chinese Academy of Sciences(No.XDB38050100);the Shenzhen Science and Technology Program(No.SGDX20201103095603009);the Shenzhen Polytechnic Research Fund(No.6023310009K).; Radiology report generation is of significant importance.Unlike standard image captioning tasks,radiology report generation faces more pronounced visual and textual biases due to constrained data availability,making i...; 关键词：radiology report generation dynamic knowledge graph prior knowledge contrastive learning

Graph neural network-driven prediction of high-performance CO_(2)reduction catalysts based on Cu-based high-entropy alloys: 《Chinese Journal of Catalysis》2025年第4期197-207,共11页Zihao Jiao Chengyi Zhang Ya Liu Liejin Guo Ziyun Wang; 马尔斯登基金委员会(21-UOA-237);种子计划通用资助(22-UOA-031-CGS).; High-entropy alloy(HEA)offer tunable composition and surface structures,enabling the creation of novel active sites that enhance catalytic performance in renewable energy application.However,the inherent surface compl...; 关键词：Density functional theory Machine learning CO_(2)reduction High entropy alloys Graph neural network

Spatiotemporal Data Graph Modeling and Exploration of Application Scenarios in “Power Grid One Graph”: 《CSEE Journal of Power and Energy Systems》2025年第2期538-551,共14页Peng Li Zhen Dai Yachen Tang Guangyi Liu Jiaxuan Hou Qinyu Feng Quanchen Lin; supported by the Project of China Southern Power Grid Digital Grid Research Institute Co.,Ltd.(210002KK52222026)。; By modeling the spatiotemporal data of the power grid, it is possible to better understand its operational status, identify potential issues and risks, and take timely measures to adjust and optimize the system. Compa...; 关键词：“Power Grid One Graph” graph data modeling situational awareness spatiotemporal evolving graph spatiotemporal node-breaker graph model

Auto-3D-house Design from Structured User Requirements: 《Machine Intelligence Research》2025年第2期368-385,共18页Minkui Tan Qi Chen Zixiong Huang Qi Wu Yuanqing Li Jiaqiu Zhou; supported by the National Natural Science Foundation of China(NSFC)(No.62072190);TCL Science and Technology Innovation Fund,China.; We study the task of automated house design,which aims to automatically generate 3D houses from user requirements.However,in the automatic system,it is non-trivial due to the intrinsic complexity of house designing:1)...; 关键词：Automated house design user requirements understanding outline processing layout generation graph feature generation.

高级检索 检索式检索

时间限定

期刊范围

学科限定全选

高级检索 检索式检索

时间限定

期刊范围

学科限定全选

GRAPH

检索结果分析

下载全文

高级检索检索式检索

时间限定

期刊范围

学科限定全选

高级检索 检索式检索

时间限定

期刊范围

学科限定全选

GRAPH

检索结果分析

下载全文

用户登录

高级检索检索式检索