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- Cihan Eralp Kumbasar, Haldun M. Özaktas, Aykut Koç. Graph Neural Networks Improve Quantized Transformers by Incorporating Global Relationships. IEEE Trans. Signal and Information Processing over Networks, 12:125-140, 2026.
- Chenjun Liu, Jason J. R. Liu, Yaping Sun, Housheng Su. Adaptive Fault-Tolerant Affine Formation Maneuver Control of Disturbed High-Order Multi-Agent Systems Over Directed Networks. IEEE Trans. Signal and Information Processing over Networks, 12:374-387, 2026.
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- Jian-Yi Chen, Bing-Zhao Li 0001, Linyu Peng. Hyper-Differential Operator-Based Graph Fractional Fourier Transform: Novel Approaches and Applications. IEEE Trans. Signal and Information Processing over Networks, 12:411-423, 2026.
- Sivaram Krishnan, Jinho Choi 0001, Jihong Park. Learning Time-Varying Graph Signals via Koopman. IEEE Trans. Signal and Information Processing over Networks, 12:16-30, 2026.
- William Cappelletti, Pascal Frossard. Graph-Dictionary Signal Model for Sparse Representation of Multivariate Data. IEEE Trans. Signal and Information Processing over Networks, 12:152-162, 2026.
- Jingyi Zhao, Yongxin Wu, Weijun Zhou, Yuhu Wu. A Distributed Consensus Controller With Indirect State Interaction for Multi-Agent Systems in the Port-Hamiltonian Framework. IEEE Trans. Signal and Information Processing over Networks, 12:440-451, 2026.
- Mengqi Li 0003, Wenchao Xue 0001, Yanlong Zhao, Jin Guo 0003. Remote State Estimation With Quantized Communication Against Markov Tampering Attack. IEEE Trans. Signal and Information Processing over Networks, 12:452-463, 2026.
- Razieh Torkamani, Arash Amini, Hadi Zayyani, Mehdi Korki. Bayesian Convolutional Neural Networks for Prior Learning in Graph Signal Recovery. IEEE Trans. Signal and Information Processing over Networks, 12:399-410, 2026.