Link Prediction with Simple Path-Aware Graph Neural Networks. - Tuo Xu; Lei Zou 001 (ICONIP (8), 2023)

Rethinking Higher-Order Representation Learning With Graph Neural Networks. - Tuo Xu; Lei Zou 001 (LoG, 2023)

Vehicle running attitude prediction model based on Artificial Neural Network-Parallel Connected (ANN-PL) in the single-vehicle collision. - Tuo Xu; Ping Xu; Hui Zhao; Chengxing Yang; Yong Peng (Adv. Eng. Softw., 2023)

Domain-Invariant Feature and Generative Adversarial Network Boundary Enhancement for Multi-Source Unsupervised Hyperspectral Image Classification. - Tuo Xu; Bing Han 003; Jie Li 001; Yuefan Du (Remote. Sens., 2023)

Rethinking and Extending the Probabilistic Inference Capacity of GNNs. - Tuo Xu; Lei Zou 001 (ICLR, 2024)

An LSTM-stacked autoencoder multisource response prediction and constraint optimization for scaled expansion tubes. - Tuo Xu; Ping Xu; Chengxing Yang; Zhixiang Li; Ao Wang; Weinian Guo (Appl. Soft Comput., 2024)

A Prototype Network for Hyperspectral Image Open-Set Classification Based on Feature Invariance and Weighted Pearson Distance Measurement. - Yuefan Du; Xiaoping Li 004; Lei Shi 023; Fangyan Li; Tuo Xu (IEEE Trans. Geosci. Remote. Sens., 2024)

A locally weighted, correlated subdomain adaptive network employed to facilitate transfer learning. - Tuo Xu; Bing Han 003; Jie Li 001; Yuefan Du (Image Vis. Comput., 2024)

Generative Adversarial Network and Mutual-Point Learning Algorithm for Few-Shot Open-Set Classification of Hyperspectral Images. - Tuo Xu; Ying Wang 007; Jie Li 001; Yuefan Du (Remote. Sens., 2024)

Towards a Complete Logical Framework for GNN Expressiveness. - Tuo Xu (ICLR, 2025)

Cooperative Causal GraphSAGE. - Zaifa Xue; Tao Zhang 028; Tuo Xu; Huaixin Liang; Le Gao (CoRR, 2025)