• 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 141,587 matches

• 2026
• 
  Qaisar Farhad, Mumtaz Hussain, Shou-Jun Xu:
  Closeness spectra and structural uniqueness of special graph classes. Appl. Math. Comput. 509: 129666 (2026)
• 
  Kurt Klement Gottwald, Snjezana Majstorovic, Tomislav Doslic:
  Šoltés problem for the Kirchhoff index of a graph. Appl. Math. Comput. 510: 129694 (2026)
• 
  Qiuyue Tan, Haizhen Qiu, Yiqiao Wang, Kan Wang:
  An identifying operation on a 1-planar graph with an application to acyclic coloring. Appl. Math. Comput. 508: 129614 (2026)
• 
  Yun Chu, Qiuhao Wang, Enze Zhou, Qian Liu, Gang Zheng:
  EZhouNet: A framework based on graph neural network and anchor interval for the respiratory sound event detection. Biomed. Signal Process. Control. 112: 108491 (2026)
• 
  Haowei Duan, Wensong Yang, Yuqi Ma, Jingliu He, Peng Xie, Shanxiong Chen:
  HHGCN: Hybrid Hypergraph Convolutional and Graph Convolutional Network for prognostic prediction of intracerebral hemorrhage. Biomed. Signal Process. Control. 112: 108568 (2026)
• 
  Zahra Farrokhi, Jamshid Pirgazi, Ali Ghanbari Sorkhi:
  An effective deep learning and graph neural network approach for accurate prediction of LncRNA-disease associations. Biomed. Signal Process. Control. 112: 108431 (2026)
• 
  Jinping Liu, Youkun Deng, Jiayu Liu, Dianyi Song, Xiaohui Duan, Jinxiu Li:
  Graph-guided topic modeling and multi-level context-aware framework for automated radiology report generation. Biomed. Signal Process. Control. 112: 108553 (2026)
• 
  Amir Moslemi, Aryan Safakish, Laurentius Oscar Osapoetra, Lakshmanan Sannachi, Gregory J. Czarnota:
  Radiomic feature selection for response prediction of cancer treatment using sparse rank revealing QR factorization and adaptive graph: locally advanced breast cancer and head & neck cancer studies. Biomed. Signal Process. Control. 112: 108492 (2026)
• 
  K. Muthulakshmi, S. Maruthu Perumal, G. Rosline Nesa Kumari:
  An efficient multi-class dermatological lesion diagnosis using adaptive hybrid segmentation and residual graph CNN with attention mechanism. Biomed. Signal Process. Control. 112: 108422 (2026)
• 
  Ilyes Naidji, Ahmed Tibermacine, Imad Eddine Tibermacine, Samuele Russo, Christian Napoli:
  EGDN-KL: Dynamic graph-deviation network for EEG anomaly detection. Biomed. Signal Process. Control. 112: 108597 (2026)
• 
  M. Ramkumar Raja, G. Hari Krishnan, Amanulla Mohammad, Sreevardhan Cheerla:
  Dual temporal gated multi-graph convolution network based neurodegenerative disease detection and severity prediction. Biomed. Signal Process. Control. 112: 108566 (2026)
• 
  C. S. Smitha, S. Sathiya, T. Soumya:
  Efficient dynamic graph metrics stacked convolutional neural network for classifying the neurological disorder. Biomed. Signal Process. Control. 112: 108620 (2026)
• 
  Krishnakumar Subramaniam, Archana Naganathan:
  T-VesselNet and GEMFNet: A transformer-based multi-scale fusion framework with graph enhancements for accurate and efficient retinal disease classification. Biomed. Signal Process. Control. 112: 108598 (2026)
• 
  Chaosheng Tang, Jiahao Song, Zhaozhao Xu, Junding Sun, Shuihua Wang, Yudong Zhang:
  RHOAGCN: Residual n-hop omnipresent-attention graph convolution network for brain tumor diagnosis. Biomed. Signal Process. Control. 112: 108537 (2026)
• 
  A. Thiyagarajan, C. Murukesh, S. Mary Joans:
  Enhancing diagnostic precision and mammogram classification in breast cancer detection utilizing an optimized Explicit Feature Interaction Aware Graph Neural Network. Biomed. Signal Process. Control. 112: 108444 (2026)
• 
  Kai Wang, Di Wu, Wen Liu, Haifeng He, Huawei Chen:
  Graph Filtering-Based Multi-Granularity Spatial-Frequency Convolutional Attention Fusion Network for emotion recognition. Biomed. Signal Process. Control. 112: 108556 (2026)
• 
  Yi Xia, Aisheng Cao:
  Multimodal dynamic-static combined graph convolutional network for detecting freezing of gait. Biomed. Signal Process. Control. 112: 108368 (2026)
• 
  Yanjie Zhang, Fan Li, Lingguo Bu, Su Han, Yuanyuan Bu:
  VR-based approach for MCI assessment system using fNIRS and graph convolutional network. Biomed. Signal Process. Control. 111: 108472 (2026)
• 
  Yang Zhou, Huiyan Jiang:
  G3CM-MBUNet: Task sensitive multi-graph convolution module combined with multibranch U-Net for multi-task learning of tumors. Biomed. Signal Process. Control. 112: 108441 (2026)
• 
  Rosário Fernandes, Rúben Palma:
  On the independence number of graph powers. Comput. Appl. Math. 45(1): 22 (2026)
• 
  Min Li, Ming Jin, Mingzhu Lou, Shaobo Deng, Lei Wang, Hua Rao:
  Multiview-cooperated graph neural network enables novel multi-omics cancer subtype classification. Comput. Biol. Chem. 120: 108665 (2026)
• 
  Thi-Tuyen Nguyen, Wenqing Zheng, Van-Nui Nguyen, Nguyen Quoc Khanh Le, Matthew Chin Heng Chua:
  A unified graph-based approach for protein function prediction using AlphaFold structures and sequence features. Comput. Biol. Chem. 120: 108609 (2026)
• 
  Akkireddi Vara Prasad, K. Vedavathi:
  FoodABSANet: Developing an adaptive graph convolutional neural network for aspect-based sentiment analysis of food reviews with a weighted polarity score. Comput. Biol. Chem. 120: 108635 (2026)
• 
  Qinghe Gao, Lukas Schulze Balhorn, Alessandro Laera, Raoul Meys, Jonas Goßen, Jana M. Weber, Gregor Wernet, Artur M. Schweidtmann:
  Environmental impacts prediction using graph neural networks on molecular graphs. Comput. Chem. Eng. 204: 109362 (2026)
• 
  Hongjiang Wang, Peiyu Chen, Jinwen Luo, Yunying Yang:
  Tailoring educational support with graph neural networks and explainable AI: Insights into online learners' metacognitive abilities. Comput. Educ. 240: 105452 (2026)
• 
  P. Dhavakumar, Shanmugasundaram Vengadeswaran:
  Software defect prediction using graph sample and aggregate-attention network optimized with nomadic people optimizer for enhancing the software reliability. Comput. Stand. Interfaces 95: 104033 (2026)
• 
  Yuxin Wu, Guofeng Deng:
  Aspect-level sentiment analysis based on graph convolutional networks and interactive aggregate attention. Comput. Speech Lang. 95: 101819 (2026)
• 
  Fan Yang, Tan Zhu, Jing Huang, Zhilin Huang, Guoqi Xie:
  A novel graph kernel algorithm for improving the effect of text classification. Comput. Speech Lang. 95: 101818 (2026)
• 
  Manoj Changat, Jeny Jacob, Lekshmi Kamal K. Sheela, Iztok Peterin:
  The toll walk transit function of a graph: Axiomatic characterizations and first-order non-definability. Discret. Appl. Math. 380: 128-145 (2026)
• 
  Xiaodan Chen, Xiaoqian Liu:
  The reciprocal irregularity of a graph. Discret. Appl. Math. 378: 348-357 (2026)

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