• 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 471 matches

• 2025
• 
  Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag M. Sallabi, Khaled Shuaib, Heba M. Khater:
  Blockchain-Powered Secure and Scalable Threat Intelligence System With Graph Convolutional Autoencoder and Reinforcement Learning Feedback Loop. IEEE Access 13: 24736-24748 (2025)
• 
  Fangcheng Shi, Liang Chen, Moshi Zhou, Yue Zhao, Yu Zheng:
  A stepwise intelligence generative method for structured maintenance guidance documents based on knowledge graph augmented LLM. Adv. Eng. Informatics 67: 103523 (2025)
• 
  Zuoxu Wang, Zhijie Yan, Shufei Li, Jihong Liu:
  IndVisSGG: VLM-based scene graph generation for industrial spatial intelligence. Adv. Eng. Informatics 65: 103107 (2025)
• 
  Yansong Wang, Yundong Sun, Baohui Lin, Haotian Zhang, Xiaoling Luo, Yumeng Liu, Xiaopeng Jin, Dongjie Zhu:
  SEGT-GO: a graph transformer method based on PPI serialization and explanatory artificial intelligence for protein function prediction. BMC Bioinform. 26(1): 46 (2025)
• 
  Angelos Chatzimparmpas:
  Visual Analytics for Explainable and Trustworthy Artificial Intelligence. IEEE Computer Graphics and Applications 45(2): 100-111 (2025)
• 
  Junbo Jia, Li Yang, Yuchen Wang, Anyuan Sang:
  Hyper attack graph: Constructing a hypergraph for cyber threat intelligence analysis. Comput. Secur. 149: 104194 (2025)
• 
  Inoussa Mouiche, Sherif Saad:
  Entity and relation extractions for threat intelligence knowledge graphs. Comput. Secur. 148: 104120 (2025)
• 
  Xiang Li, Qing Liu, Quan Bai, Xiwei Xu:
  The Role of Knowledge Graphs on Responsible Artificial Intelligence Realization: Research Opportunities and Challenges. Computer 58(6): 40-48 (2025)
• 
  Seonje Jung, Junsu Gil, Meehye Lee, Clara Betancourt, Martin Schultz, Yunsoo Choi, Taekyu Joo, Daigon Kim:
  Interpolation of missing ozone data using graph machine learning and parameter analysis through eXplainable artificial intelligence comparison. Environ. Model. Softw. 190: 106466 (2025)
• 
  Hariharan Ramamoorthy, Mohan Ramasundaram, S. P. Raja, Krunal Randive:
  An Efficient Classification of Multiclass Brain Tumor Image Using Hybrid Artificial Intelligence with Honey Bee Optimization and Probabilistic U-RSNet. Int. J. Image Graph. 25(1): 2450059:1-2450059:21 (2025)
• 
  Yuan Gao, Qian Zhao, Laurence T. Yang, Jing Yang, Jieming Yang:
  Tensor Representation-Based Multiview Graph Contrastive Learning for IoE Intelligence. IEEE Internet Things J. 12(4): 3482-3492 (2025)
• 
  Guozhi Hao, Qianqian Pan, Jun Wu:
  Incentive Distributed Knowledge Graph Market for Generative Artificial Intelligence in IoT. IEEE Internet Things J. 12(10): 13367-13383 (2025)
• 
  Bishal Thapaliya, Esra Akbas, Jiayu Chen, Ram Sapkota, Bhaskar Ray, Pranav Suresh, Vince D. Calhoun, Jingyu Liu:
  Brain networks and intelligence: A graph neural network based approach to resting state fMRI data. Medical Image Anal. 101: 103433 (2025)
• 
  Gan Liu, Kai Lu, Saiqi Pi:
  Graph neural networks embedded with domain knowledge for cyber threat intelligence entity and relationship mining. PeerJ Comput. Sci. 11: e2769 (2025)
• 
  Yunliang Chen, Yuqi Li, Xiaohui Huang, Yuewei Wang, Guishui Zhu, Geyong Min, Jianxin Li:
  An Explainable Recommendation Method for Artificial Intelligence of Things Based on Reinforcement Learning With Knowledge Graph Inference. IEEE Trans. Consumer Electron. 71(1): 1980-1991 (2025)
• 
  Sebastian Künzel, Tanja Munz-Körner, Pascal Tilli, Noel Schäfer, Sandeep Vidyapu, Ngoc Thang Vu, Daniel Weiskopf:
  Visual explainable artificial intelligence for graph-based visual question answering and scene graph curation. Vis. Comput. Ind. Biomed. Art 8(1): 9 (2025)
• 
  V. N. Venkatakrishnan:
  Real-time Analytics for APT Detection and Threat Hunting Using Cyber-threat Intelligence and Provenance Graphs. IWSPA@CODASPY 2025: 1
• 
  Freddy Paz, Freddy-Asrael Paz-Sifuentes, Arturo Moquillaza, Alexandra Zavala, Joset Huayta, Valeria Acevedo, Luciana Carrillo, Fiorella Falconi:
  Usage of Generative Artificial Intelligence for the Design of Graphic User Interfaces: Initial Approaches. HCI (34) 2025: 46-63
• 
  Caixia Yang, Yan Ma, Shaojie Yi:
  Research on the Construction of Adaptive Learning System Based on Knowledge Graph in the Context of Artificial Intelligence. ICEIT 2025: 158-165
• 
  Johannes F. Loevenich, Erik Adler, Tobias Hürten, Florian Spelter, Damian Roncevic, Roberto Rigolin F. Lopes:
  Automating Cyber Threat Intelligence and Attack Chain Generation using Cyber Security Knowledge Graphs and Large Language Models. ICMCIS 2025: 1-10
• 
  Anna Teern, Nada Elgendy, Pertti Seppänen, Tero Päivärinta:
  An Evolvable Knowledge Graph Supporting a Hybrid Intelligence Autonomous Driving System. ICSA Companion 2025: 557-564
• 
  Akanksha Ahuja, Sam Nallaperuma Herzberg, Albert Rafel, Paul Wright, Andrew Lord, Seb J. Savory:
  Topology Architect: Graph Generative Intelligence for Scalable Optical Network Topology Design. ONDM 2025: 1-3
• 
  Rajeev Kumar, Kumar Ishan, Harishankar Kumar, Abhinandan Singla:
  LLM-Powered Knowledge Graphs for Enterprise Intelligence and Analytics. CoRR abs/2503.07993 (2025)
• 
  Yuxu Lu, Kaisen Yang, Dong Yang, Haifeng Ding, Jinxian Weng, Ryan Wen Liu:
  Graph Learning-Driven Multi-Vessel Association: Fusing Multimodal Data for Maritime Intelligence. CoRR abs/2504.09197 (2025)
• 
  Nirodya Pussadeniya, Bahareh Nakisa, Mohammad Naim Rastgoo:
  Affective-CARA: A Knowledge Graph Driven Framework for Culturally Adaptive Emotional Intelligence in HCI. CoRR abs/2506.14166 (2025)
• 2024
• 
  Yushan Liu:
  Machine learning with knowledge graphs for explainable Artificial Intelligence. Ludwig Maximilian University of Munich, Germany, 2024
• 
  Balyogi Mohan Dash:
  Robust hybrid fault detection and isolation by integrating bond graph and artificial intelligence : application to green hydrogen production. (Détection et isolation hybrides robustes des défauts par l'intégration du Bond Graph et de l'intelligence artificielle : application à la production d'hydrogène vert). University of Lille, France, 2024
• 
  Martin Drancé:
  Graphes de connaissances et intelligence artificielle explicable : application au repositionnement de médicaments. (Knowledge graphs and explainable artificial intelligence : application to drug repositioning). University of Bordeaux, France, 2024
• 
  Yike Guo:
  Design of Improved Artificial Intelligence Generative Dialogue Algorithm and Dialogue System Model Based on Knowledge Graph. IEEE Access 12: 102637-102648 (2024)
• 
  Huanyu Yang, Jinhao Li, Surnggahb Jahng:
  The Application of Knowledge Graph Convolutional Network-Based Film and Television Interaction Under Artificial Intelligence. IEEE Access 12: 132127-132138 (2024)

skipping 441 more matches