• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 634 matches

• 2025
• 
  Young-Jin Kim, Hanjin Kim, Beomsu Ha, Won-Tae Kim:
  Federated Digital Twins: A Scheduling Approach Based on Temporal Graph Neural Network and Deep Reinforcement Learning. IEEE Access 13: 20763-20777 (2025)
• 
  Anee Sharma, Ningrinla Marchang:
  Detection of Malicious Clients in Federated Learning Using Graph Neural Network. IEEE Access 13: 77952-77972 (2025)
• 
  Hefei Wang, Ruichun Gu, Jingyu Wang, Xiaolin Zhang, Hui Wei:
  FedBFGCN: A Graph Federated Learning Framework Based on Balanced Channel Attention and Cross-Layer Feature Fusion Convolution. IEEE Access 13: 21980-21991 (2025)
• 
  Songsong Liu, Wenxin Li, Xiao Song, Kaiqi Gong:
  NP-FedKGC: a neighbor prediction-enhanced federated knowledge graph completion model. Appl. Intell. 55(3): 235 (2025)
• 
  Xiaoxiong Zhang, Zhiwei Zeng, Xin Zhou, Dusit Niyato, Zhiqi Shen:
  Personalized federated knowledge graph embedding with client-wise relation graph. Appl. Intell. 55(4): 318 (2025)
• 
  Muhammad Yaqub, Shahzad Ahmad, Malik Abdul Manan, Muhammad Salman Pathan, Lan He:
  Predicting traffic flow with federated learning and graph neural with asynchronous computations network. Array 26: 100411 (2025)
• 
  Smarajit Ghosh:
  Network traffic analysis based on cybersecurity intrusion detection through an effective Automated Separate Guided Attention Federated Graph Neural Network. Appl. Soft Comput. 169: 112603 (2025)
• 
  Xiaochuan Tang, Yu Wang, Xin Liu, Xiaojun Yuan, Chao Fan, Yanmei Hu, Qiang Miao:
  Federated graph neural network for privacy-preserved supply chain data sharing. Appl. Soft Comput. 168: 112475 (2025)
• 
  Shahzad Ahmed, Jinchao Feng, Malik Abdul Manan, Muhammad Yaqub, Muhammad Usman Ali, Abdul Raheem:
  FedGraphMRI-net: A federated graph neural network framework for robust MRI reconstruction across non-IID data. Biomed. Signal Process. Control. 102: 107360 (2025)
• 
  Qingyong Wang, Beibei Han:
  Temporal transaction network anomaly detection for Industrial Internet of Things with federated graph neural networks. Comput. Ind. Eng. 205: 111122 (2025)
• 
  Shruti Sharma, Ankur Ratmele, Abhay Deep Seth:
  Multiclass vulnerability and clone detection in Ethereum smart contracts using Block-wise Abstract Syntax Tree based Federated Graph Neural Networks. Comput. Electr. Eng. 123: 110220 (2025)
• 
  Ning Wang, Ya Li, Yuanbang Li:
  CIF-HGR: A privacy-preserving and collaborative framework for cross-institutional federated heterogeneous graph recommendation in energy IoT. Comput. Electr. Eng. 123: 110083 (2025)
• 
  Fan Wang, Xuyun Zhang, Weiming Liu, Li Li, Yuwen Liu, Zhongyuan Zhang, Guanfeng Liu, Shengye Pang, Xiaolong Xu, Lianyong Qi:
  PerFedKG: two-stage information-loop federated knowledge graph for personalized privacy-preserving recommendation systems. Sci. China Inf. Sci. 68(4) (2025)
• 
  Yudan Ren, Zihan Ma, Zhenqing Ding, Ruonan Yang, Xiao Li, Xiaowei He, Tianming Liu:
  SFPGCL: Specificity-preserving federated population graph contrastive learning for multi-site ASD identification using rs-fMRI data. Comput. Medical Imaging Graph. 124: 102558 (2025)
• 
  Abhinav Khanna, Gandikota Anjali, Nilesh Kumar Verma, Jairam Naik Khetavath:
  A GRL-aided federated graph reinforcement learning approach for enhanced file caching in mobile edge computing. Computing 107(1): 40 (2025)
• 
  Yuanquan Zhong:
  Collaboration of IoT devices in smart home scenarios: algorithm research based on graph neural networks and federated learning. Discov. Internet Things 5(1): 1 (2025)
• 
  Deling Huang, Qilong Feng:
  Federated Cross-Domain Recommendation Framework With Graph Neural Network. Expert Syst. J. Knowl. Eng. 42(8) (2025)
• 
  Xiaotong Wu, Jiaquan Gao, Muhammad Bilal, Fei Dai, Xiaolong Xu, Lianyong Qi, Wanchun Dou:
  Federated learning-based private medical knowledge graph for epidemic surveillance in internet of things. Expert Syst. J. Knowl. Eng. 42(1) (2025)
• 
  Uppu Nirosha, G. Vennila:
  Enhancing crop yield prediction for agriculture productivity using federated learning integrating with graph and recurrent neural networks model. Expert Syst. Appl. 289: 128312 (2025)
• 
  Qingqiang Qi, Chengyu Hu, Tongyaqi Li, Peng Tang, Shanqing Guo:
  PFGRS: A Privacy-preserving Subgraph-level Federated Graph learning for Recommender System. Expert Syst. Appl. 282: 127615 (2025)
• 
  Jingtong Huang, Xu Ma, Yuan Ma, Kehao Chen, Xiaoyu Zhang:
  Dual-channel meta-federated graph learning with robust aggregation and privacy enhancement. Future Gener. Comput. Syst. 166: 107677 (2025)
• 
  Wei Huang, Junling Chen, Dexian Wang, Pengfei Zhang, Jia Liu, Tianrui Li:
  FedMDKGE: Multi-granularity Dynamic Knowledge Graph Embedding in Federated Learning. Int. J. Comput. Intell. Syst. 18(1): 131 (2025)
• 
  Songsong Liu, Xiao Song, Yong Li, Kaiqi Gong, Yuchun Tu:
  ALPPA: An accuracy-lossless and privacy-preserving aggregation strategy for federated knowledge graph completion model. Neurocomputing 630: 129693 (2025)
• 
  Zhihui Xu, Bing Li, Wenming Cao:
  Enhancing federated learning-based social recommendations with graph attention networks. Neurocomputing 617: 129045 (2025)
• 
  Xueming Yan, Chuyue Wang, Yaochu Jin:
  Federated training of GNNs with similarity graph reasoning for text-image retrieval. Neurocomputing 623: 129411 (2025)
• 
  Yan Feng, Quan Qian:
  PPSTSL: A Privacy-preserving Dynamic Spatio-temporal Graph Data Federated Split Learning for traffic forecasting. Inf. Fusion 121: 103129 (2025)
• 
  Zhi Li, Chaozhuo Li, Ming Li, Liqun Yang, Jian Weng:
  Federated graph transformer with mixture attentions for secure graph knowledge fusions. Inf. Fusion 118: 102954 (2025)
• 
  Gang Mao, Hui Li, Longxian Xue, Yongbo Li, Zhiqiang Cai, Khandaker Noman:
  FedPM-SGN: A federated graph network for aviation equipment fault diagnosis by multi-sensor fusion in decentralized and heterogeneous setting. Inf. Fusion 117: 102876 (2025)
• 
  Hui Yu, Qingyong Wang, Xiaobo Zhou:
  Adaptive-weighted federated graph convolutional networks with multi-sensor data fusion for drug response prediction. Inf. Fusion 122: 103147 (2025)
• 
  Jiale Chen, Shengda Zhuo, Jinchun He, Wangjie Qiu, Qinnan Zhang, Zehui Xiong, Zhiming Zheng, Yin Tang, Min Chen, Chang-Dong Wang, Shuqiang Huang:
  Federated Graph Learning via Constructing and Sharing Feature Spaces for Cross-Domain IoT. IEEE Internet Things J. 12(14): 26200-26214 (2025)

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