| 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 |
| 2026-10-19 | 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 |
| 2026-10-17 | 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 | 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 |
| 2026-10-14 | 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 | 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 | 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 |
| 2026-10-09 | 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 |
| 2026-10-08 | 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; … |
| 2026-10-05 | 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 |
| 2026-10-02 | 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 | 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 | Rebuilding to remember: Reconstruction-driven regularization for information-preserving in clustering graph pooling | Pattern Recognition | Wenju Hou, Jie Hong, Jialin Liu et al. | Jilin University; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University; Sun Yat-sen University |
| 2026-10-01 | UAAD: A Unified Anomaly-Aware Defense Against Diverse Backdoor Attacks on Graph Neural Networks | Expert Systems with Applications | Jianan Su, Zhiying Li, Shan Zhu et al. | Jinan University; Xi’an Jiaotong-Liverpool University |
| 2026-10-01 | MCC-ED: a multi-module collaborative framework for event detection via contextual interaction, closed-loop graph fusion, and event contrastive learning | Applied Intelligence | Xinyu He, Yijin Zhu | Liaoning Normal University |
| 2026-10-01 | CL3AN-GNN: curriculum-driven for incremental feature disentanglement with multi-phase attention for class-imbalanced node classification | Neural Computing and Applications | Abdul Joseph Fofanah, David Chen, Lian Wen et al. | Griffith University; Chang'an University; Njala University |
| 2026-10-01 | SURGE: Structural Perturbation Response Field Guided Residual Distillation for Graph Unlearning | Machine Learning | Chaofan Shen, Min Wang, Jing Zhang | Southeast University |
| 2026-10-01 | Rethinking heterogeneous graph representation learning via relational subset selection | Knowledge-Based Systems | Kun Tian, Jiaying Luo, Chao Li et al. | Fudan University; Johns Hopkins University; China Mobile (China) |
| 2026-10-01 | Addressing spatial indistinguishability in spatiotemporal prediction via optimal transport-guided masking | Pattern Recognition | Guangyu Wang, Jiawei Tong | Dongbei University of Finance and Economics; University of Liverpool |
| 2026-09-30 | DMR-GNN: Differential multi-relational graph neural network for scalable multi-view learning | Knowledge-Based Systems | Jiexin Yu, Zhengnan Chen, Jun Yan et al. | Fuzhou University; China United Network Communications Group (China) |
| 2026-09-30 | NMPPI: multi-scale relationship structure with effective pre-training for protein-protein interactions | Applied Intelligence | Yan Kang, Hu Yuan, Wang XinChao et al. | Yunnan University; Southeast University; Southeast University |
| 2026-09-30 | Enhancing protein–ligand pose prediction via dual-branch deep learning with docking-oriented multi-component loss and iterative refinement | Applied Intelligence | Md Khorshed Alam, Julia Rahman, M. A. Hakim Newton et al. | Bangladesh University of Engineering and Technology; Rajshahi University of Engineering and Technology; University of Newcastle Australia; … |
| 2026-09-29 | SVG-Mamba: An efficient local-to-global sparse voxel graph mamba for event stream recognition | Knowledge-Based Systems | Weibin Feng, Xiaoping Wang, Xin Zhan et al. | Huazhong University of Science and Technology; New York University Abu Dhabi |
| 2026-09-29 | Decoding spatial domains and heterogeneities of complex tissues by multimodal deep learning | Pattern Recognition | Yajie Meng, Zheng Chen, Guoyong Zhang et al. | Wuhan Textile University; Hainan University; Wuhan University of Science and Technology; … |
| 2026-09-29 | Multi-source Heterogeneous Data Fusion with Graph-Aware Dual Contrastive Learning for drug–drug interaction prediction | Pattern Recognition | Yajie Meng, Zhenghang Gong, Zhuang Zhang et al. | Wuhan Textile University; Hainan University; Chongqing Normal University; … |
| 2026-09-28 | Joint Representation Learning for Expert Discovery | Machine Learning | Roohollah Etemadi, Morteza Zihayat, Kuan Feng et al. | Toronto Metropolitan University; IBM (Canada); University of Guelph; … |