- Xuemei Wei, Ye-Zheng Liu 0001, Jianshan Sun, Yuanchun Jiang, Qifeng Tang, Kun Yuan. Dual Subgraph-Based Graph Neural Network for Friendship Prediction in Location-Based Social Networks. TKDD, 17(3), April 2023.
- Jun-Gi Jang, U Kang. Static and Streaming Tucker Decomposition for Dense Tensors. TKDD, 17(5), June 2023.
- Likang Wu, Hongke Zhao, Zhi Li, Zhenya Huang, Qi Liu 0003, Enhong Chen. Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks. TKDD, 17(8), 2023.
- Rashid Hussain Khokhar, Benjamin C. M. Fung, Farkhund Iqbal, Khalil Al-Hussaeni, Mohammed Hussain. Differentially Private Release of Heterogeneous Network for Managing Healthcare Data. TKDD, 17(6), July 2023.
- Xiaoye Miao, Huanhuan Peng, Yunjun Gao, Zongfu Zhang, Jianwei Yin. On Dynamically Pricing Crowdsourcing Tasks. TKDD, 17(2), February 2023.
- Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, SungChul Kim, Hoda Eldardiry. Graph Deep Factors for Probabilistic Time-series Forecasting. TKDD, 17(2), February 2023.
- Hung T. Nguyen 0003, Pierre J. Liang, Leman Akoglu. Detecting Anomalous Graphs in Labeled Multi-Graph Databases. TKDD, 17(2), February 2023.
- Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni. Efficient Node PageRank Improvement via Link-building using Geometric Deep Learning. TKDD, 17(3), April 2023.
- Yizong Wang, Dong Zhao 0001, Yajie Ren, Desheng Zhang, Huadong Ma. SPAP: Simultaneous Demand Prediction and Planning for Electric Vehicle Chargers in a New City. TKDD, 17(4), May 2023.
- Yuyang Ren, Haonan Zhang, Peng Yu, Luoyi Fu, Xinde Cao, Xinbing Wang, Guihai Chen, Fei Long, Chenghu Zhou. Ada-MIP: Adaptive Self-supervised Graph Representation Learning via Mutual Information and Proximity Optimization. TKDD, 17(5), June 2023.