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ORCIDIEEE Transactions on Big Data, Volume 12
Volume 12, Number 1, February 2026
- Shuming Liang
, Yu Ding, Zhidong Li, Bin Liang, Siqi Zhang, Yang Wang, Fang Chen:
Can GNNs Learn Link Heuristics? a Concise Review and Evaluation of Link Prediction Methods. 1-14 - Chun-Wei Shen, Jia-Wei Jiang, Hsun-Ping Hsieh:
STGym: A Modular Benchmark for Spatio-Temporal Networks With a Survey and Case Study on Traffic Forecasting. 15-33 - Bo Liu, Lingling Tao, Xiaodan Chen, Zhijun Li:
VDDFormer: A Variable Dependency Discrepancy-Based Transformer for Multivariate Time Series Anomaly Detection. 34-46 - Sihang Cai, Xuan Lin, Wenqiang Xu, Jingtong Wu, Tao Jin, Zhou Zhao, Fei Wu, Jun Yu:
TAG: Triple Alignment With Rationale Generation for Knowledge-Based Visual Question Answering. 47-61 - Rong Wang, Na Lv, Xing Huang, Qingwang Guo, Yunpeng Xiao, Chaolong Jia, Haofei Xie:
ST-DDGAN: A Traffic Data Compensation Model Based on Image Restoration Technology. 62-79 - Rongxin Tu, Xiangui Kang, Chee Wei Tan, Chi-Hung Chi, Kwok-Yan Lam:
Sentences Based Adversarial Attack on AI-Generated Text Detectors. 80-91 - Luyi Bai, Jixuan Dong, Lin Zhu:
Intent-Driven Semantic Query: An Effective Approach for Temporal Knowledge Graph Query. 92-104 - Ying Zhao, Genghuai Bai, Yusheng Qiu, Yiwen Liu, Chuhan Zhang, Chi Han, Yitao Wu, Kehua Guo, Jian Zhang, Fangfang Zhou:
Community-Imbalanced Graph Sampling. 105-118 - Mohammad Wali Ur Rahman, Ric Nevarez, Lamia Tasnim Mim, Salim Hariri:
SDEC: Semantic Deep Embedded Clustering. 119-134 - Owen Randall, Luke Schultz, Paul Lu:
Optimizing Deduplication Parameters via a Change-Estimation Analytical Model. 135-146 - Xinyuan Li, Yue-Chao Li, Hai-Ru You, Xuequn Shang, Leon Wong, Zhi-An Huang, Zhu-Hong You, Yu-An Huang:
scProGraph: A Cell Bagging Strategy for Cell Type Annotation With Gene Interaction-Aware Explainability. 147-158 - Chen Jiang, Lei Wang, Changqing Yu, Zhuhong You, Xinfei Wang, Mengmeng Wei, Mianshuo Lu:
MuGNet-CMI: Multi-Head Hybrid Graph Neural Network for Predicting circRNA-miRNA Interactions With Global High-Order and Local Low-Order Information. 159-173 - K. Naveen Kumar, Srinivasa Rao Chalamala, Ajeet Kumar Singh, C. Krishna Mohan:
Optimal Transport Barycentric Aggregation for Byzantine-Resilient Federated Learning. 174-185 - Md Palash Uddin, Yong Xiang, Mahmudul Hasan, Yao Zhao, Youyang Qu, Longxiang Gao:
Fast Convergent Federated Learning via Decaying SGD Updates. 186-199 - Meng Jian, Ruoxi Li, Yulong Bai, Ge Shi:
Enhancing Recommendations With Knowledge-Guided Interest Contrast. 200-211 - Wen Bai, Yufeng Wang, Yuncheng Jiang, Di Wu:
Parallel Core Decomposition of Temporal Graphs. 212-223 - Pu Wang, YinSong Xiong, Zhuoran Zheng:
CLIP2LE: A Label Enhancement Fair Representation Method via CLIP. 224-235 - Zhida Qin, Wenhao Xue, Haotian He, Haoyao Zhang, Shixiao Yang, Enjun Du, Tianyu Huang, John C. S. Lui:
Behavior Habits Enhanced Intention Learning for Session Based Recommendation. 236-248 - Li He, Hong Zhang:
Two-Step Nyström Sampling for Large-Scale Kernel Approximation. 249-260 - Jiankai Zuo, Zihao Yao, Yaying Zhang:
Bridging User Dynamic Preferences: A Unified Bridge-Based Diffusion Model for Next POI Recommendation. 261-275 - Haimin Zhang, Jiaohao Xia, Min Xu:
Differential Encoding for Improved Representation Learning Over Graphs. 276-287 - Yali Feng, Zhifeng Hao, Wen Wen, Ruichu Cai:
Temporal Recommendation Based on Adaptive Deep Matrix Factorization. 288-300
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