| 2026-10-23 | Efficient equivariant framework for universal charge density prediction | Nature Machine Intelligence | Xiwen Li, Zaizhou Xin, Hongyu Yu et al. | Fudan University; State Key Laboratory of Surface Physics |
| 2026-10-22 | Research on the spatiotemporal prediction of supply chain finance risk contagion based on a dynamic graph attention diffusion mechanism | Financial Innovation | Yulong Zhang, Yulong Zhang, Yaqing Zhang et al. | Hengshui University; Columbia University |
| 2026-10-21 | Quantum heterogeneous graph attention network | Pattern Recognition | Wenjie Liu, Bohan Du, Qingshan Wu | Nanjing University of Information Science and Technology |
| 2026-10-21 | VOGUE: Sequence-adaptive online graph tracking with virtual long-term memory | Pattern Recognition | Yuhao Wei, Shoudong Han, Wenbo Zheng et al. | Huazhong University of Science and Technology |
| 2026-10-21 | GCN-neural ODE-based diverging conflict resolution for ACT platoons: A case study of gap patterns on port collector-distributor highway | Expert Systems with Applications | Yi Li, Xin Chen, Weili Wang et al. | Tongji University; Shanghai Maritime University; Merchants Chongqing Communications Research and Design Institute; … |
| 2026-10-20 | Forecast-guided multi-task scheduling for autonomous electric ride-hailing fleets under charging and maintenance constraints | Expert Systems with Applications | Yuhan Guo, Hongao Wang, Haoran Wang et al. | Zhejiang University of Science and Technology; Université d'Artois; United Arab Emirates University; … |
| 2026-10-19 | MASIG: Multi-view augmentation for graph representation learning on structurally imbalanced graphs | Expert Systems with Applications | Bingqian Xue, Mingxia Zhao, S. H. Zhang et al. | China Agricultural University; Shanxi Science and Technology Department; Taiyuan University of Science and Technology |
| 2026-10-19 | Removal notice to “Optimized gated spatiotemporal graph attention network based diagnosis of facial expression through video games” [Pattern Recognition 175 (2026) 112991] | Pattern Recognition | Dr. Purushottama Rao K, S Uma, Vijayaraj N et al. | |
| 2026-10-17 | TNIA: Target-aware transformer-based node injection attacks on graph neural networks | Expert Systems with Applications | Qiongshan Pan, Peng Bao | Beijing Jiaotong University |
| 2026-10-17 | STAGE-Net: Epileptic state-aware graph representation and dynamic modeling for SEEG-based epileptogenic zone localization | Expert Systems with Applications | Zhuoyi Li, Yifan Chen, Ning Zhu et al. | Northwestern Polytechnical University; Xijing Hospital; Air Force Medical University; … |
| 2026-10-17 | GLCN: a hybrid graph convolution and lite capsule network for robust and interpretable link prediction in complex networks | Knowledge and Information Systems | Indu, Varsha Sisaudia, Kapil Sharma | Delhi Technological University |
| 2026-10-17 | CasHyper: Modeling multi-factor interactions and asymmetric influence in cascade prediction via hypercomplex algebra | Information Processing & Management | Yansong Wang, Qisen Chai, Junjie Huang et al. | Southwest University; Chongqing Normal University |
| 2026-10-17 | IFCRec: interest-feature dual calibration for graph recommendation | Applied Intelligence | Zhenzhen Huang, Weiran Li, Shuo Xiao et al. | China University of Mining and Technology |
| 2026-10-16 | DGKT: Dual Graph Kernel Transformer for graph classification | Pattern Recognition | Lixiang Xu, Weixin Yu, Zezhou Wang et al. | Hefei University; Hefei Institute of Technology; Beijing Normal University; … |
| 2026-10-15 | Learnable eigenfunctions for graph rewiring: Balancing local community structure and global connectivity | Expert Systems with Applications | Waqar Ali, Ahmed Begga, Sebastiano Vascon et al. | Ca' Foscari University of Venice; ZHAW Zurich University of Applied Sciences; University of Alicante; … |
| 2026-10-15 | Toward class-imbalanced node classification by Causality-Inspired Invariant Representation Disentanglement | Knowledge-Based Systems | Xinxin Liu, Jie Cao, Hong Zhao | Minnan Normal University; Hefei University of Technology; Fuzhou University |
| 2026-10-15 | Adaptive fusion heterogeneous graph attention network for detecting review spammer groups | Neural Networks | Haoran Peng, Peng Zhang, Ru Ma et al. | Yanshan University; Beijing Institute of Technology |
| 2026-10-14 | DiSTA: A distributional semantic graph framework for multi-level information fusion in traffic forecasting | Information Fusion | Yuanzhang Zhao, Xingfeng Lv, Qianqian Ren | Heilongjiang University |
| 2026-10-14 | Towards robust Graph Neural Networks: A comprehensive strategy against graph and label noise | Information Processing & Management | Jie Chen, Fei Zhu | Soochow University |
| 2026-10-14 | Distilling representation evolution from GNNs into graph-less MLPs | Expert Systems with Applications | Fuqiang Liu, Jiayan Fu, Xinlong Chen et al. | Fuzhou University |
| 2026-10-14 | A multi-scale semantic perception network with multi-relational text graphs for text classification | Expert Systems with Applications | Chongxu Hu, Xiaoyan Gongye, Zhe Liu et al. | Qufu Normal University |
| 2026-10-14 | A biophysically-inspired framework with spatiotemporal graph diffusion for EEG-based mental workload assessment | Expert Systems with Applications | Hui Rong Xiao, Bo Wang, Hengrui Ma et al. | Wuhan University |
| 2026-10-14 | AAGP: An application-algorithm aware graph partitioning method via cost-sensitive graph neural networks | Expert Systems with Applications | Yuan Liu, Guosun Zeng, Yufei Jin et al. | Tongji University; Xi'an Technological University |
| 2026-10-14 | Topology-aware dynamic co-evolution for robust graph learning | Neural Networks | Tingting Zhang, Shuxia Lu, Mengru Wang et al. | Hebei University; Tsinghua University |
| 2026-10-14 | Domain-adversarial anatomical graph networks for cross-user human activity recognition | Information Fusion | Xiaozhou Ye, Kevin I‐Kai Wang | University of Auckland |
| 2026-10-13 | Causal representation regularized heterogeneous graph neural network for robust EEG-fNIRS bimodal emotion recognition | Expert Systems with Applications | Yushun Xiao, Cheng Lu, Tao Zhao et al. | Southeast University |
| 2026-10-12 | Multi-task end-to-end portfolio optimization with self-supervised graph attention network | Expert Systems with Applications | Yinhong Yao, Yupeng Wang, Jingjing Li et al. | Capital University of Economics and Business |
| 2026-10-09 | Decoupled reverse Kullback–Leibler: Rethinking knowledge distillation loss for bridging GNNs and MLPs | Pattern Recognition | Shaokai Xu, Muyang Li, Qiyan Huang et al. | Qingdao University of Science and Technology; University of Chinese Academy of Sciences; Sino-Danish Centre for Education and Research |
| 2026-10-09 | Contrastive semi-supervised clustering based on pairwise constraint for identifying influential nodes in complex networks | Expert Systems with Applications | Bing Sun, Yanmei Hu, Jie Wei et al. | Chengdu University of Technology |
| 2026-10-09 | Reliability-aware dynamic dependency graph neural network for airborne network intrusion detection | Pattern Recognition | Wenqi Liu, Maohui Zhou, Cong Gao et al. | Nanjing University of Aeronautics and Astronautics |
| 2026-10-09 | EEG-UDAF: A novel unsupervised domain adaptation framework leveraging dual-view frequency and spatio-temporal features for EEG-based emotion recognition | Journal Of Big Data | Yufei Chen, Gang Zhou, Pengwei Wang et al. | Zhengzhou University |
| 2026-10-08 | A novel graph-based patient embedding method for the diagnosis of Alzheimer’s disease from microRNA expression data | Data Mining and Knowledge Discovery | Veronica Buttaro, Antonio Pellicani, Gianvito Pio et al. | University of Bari Aldo Moro; Consorzio Interuniversitario Nazionale per l'Informatica; National Research Council; … |
| 2026-10-08 | HAPO: Hierarchical affinity aware propagation for unsupervised graph anomaly detection | Pattern Recognition | Huahua Ding, Chaofan Dai, Haohao Zhou et al. | National University of Defense Technology |
| 2026-10-08 | Beyond topology-driven graph convolution: Node patch convolutional network for node representation learning | Pattern Recognition | Jinsong Chen, TONG Mingwen, Hao Fan et al. | Guangxi Normal University; Central China Normal University; Wuhan University; … |
| 2026-10-07 | Distributionally-robust heterogeneous graph neural networks via relation-aware grouping | Information Processing & Management | Yunfei Wang, Yanghui Fu, Shixuan Liu et al. | National University of Defense Technology; Renmin University of China |
| 2026-10-06 | Anomaly detection in SAP S/4HANA using hybrid deep learning for multivariate time series data | Journal Of Big Data | Ram Reddy Jonnalagadda, B. P. Joshi, Kiran Kumar Reddy et al. | Osmania University; Graphic Era Hill University; Graphic Era University; … |
| 2026-10-06 | FedGNN: Decentralized federated GNN with gradient masking and dynamic feature pruning for heterogeneous ECG classification | Expert Systems with Applications | N. M. Istiak Chowdhury, Tanvir Mahtab Tapu, Md. Shahriar Shakil et al. | |
| 2026-10-05 | Multi-granularity dynamic spatio-temporal fusion graph convolutional network for traffic flow forecasting | Pattern Recognition | Tianyi Pan, Bowen Zhong, Zongxuan Jin et al. | Sichuan University |
| 2026-10-05 | Deciphering cell–cell communication in spatial transcriptomics through single-cell-informed graph convolutional networks | Pattern Recognition | Pengfei Gao, Yumeng Zhang, Quan Zou et al. | Hainan Normal University; Hainan University; University of Electronic Science and Technology of China |
| 2026-10-05 | Enhancing multimodal multi-objective evolutionary optimisation via time-temporal adaptive graph convolutional networks | Knowledge-Based Systems | Zhenghua Xin, Hongjun Cheng, Liangyi Hu et al. | China University of Mining and Technology; Suzhou University; Suzhou Academy of Agricultural Sciences; … |
| 2026-10-05 | IGA: isomorphism-aware graph alignment for robust unsupervised anchor link prediction | Data Mining and Knowledge Discovery | Qiming Yang, Wei Wei, Ruizhi Zhang et al. | Beihang University; Hengshui University; State Key Laboratory of Software Development Environment; … |
| 2026-10-03 | An intelligent cybersecurity framework for banking systems: integrating neural networks, large language models, and federated learning for anti-money laundering and fraud detection | Future Business Journal | Tanvir Sajid, Sajida Hafeez | National Textile University |
| 2026-10-03 | A semantic-aware knowledge graph neural network for metabolism-mediated drug–drug interaction prediction | Pattern Recognition | Wanmin Lin, Guodong Zhu, Yunyun Niu | China University of Geosciences; China University of Geosciences (Beijing) |
| 2026-10-02 | Graph Transformers and Graph Neural Networks are good teachers for each other | Pattern Recognition | Yunfan Liu, Lirong Wu, Zihan Liu et al. | Westlake University |
| 2026-10-01 | Unknown-aware graph consistent domain adaptation network for open-set node classification | Pattern Recognition | Ruoxian Song, Wenju Yang, Guangqi Wen et al. | Northeastern University; Shandong Normal University; Peking University; … |
| 2026-10-01 | Multimodal recommendation based on hypergraph attention neural networks | Pattern Recognition | Diqi Men, Huifang Feng | Northwest Normal University |
| 2026-10-01 | Multi-View Contrastive Graph Convolutional Networks with Adaptive Fusion for semi-supervised classification | Pattern Recognition | Huaichun Xiao, Fadi Dornaika, Jingjun Bi et al. | University of the Basque Country; Ikerbasque; North China University of Water Resources and Electric Power; … |
| 2026-10-01 | A generic framework for Graph Neural Networks against adversarial attacks | Pattern Recognition | Qian Tao, Da Xiang, Yanchao Zhang et al. | South China University of Technology |
| 2026-10-01 | stPMVG: A graph contrastive learning framework with adaptive graph augmentation and false negative debiasing for spatial domain identification | Expert Systems with Applications | Haohao Zheng, Qintong Lyu, Xiaoshu Zhu et al. | Guilin University of Electronic Technology; City University of Hong Kong |
| 2026-10-01 | Efficient relation-fused multi-channel graph convolutional network for cognitive diagnosis | Information Fusion | Teng Guo, Minjian Liu, Mingliang Hou et al. | Jinan University |