Publications

Yutong Zheng, Xiangyu Zhao, Danilo Mandic (2025). EC-Gate: Expansion Contribution-Aware Gating for Structure-Guided Message Passing in GNNs. In Proceedings of the 4th Learning on Graphs Conference (LoG 2025).

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Xiangyu Zhao, Zehui Li, Mingzhu Shen, Guy-Bart Stan, Pietro Liò, Yiren Zhao (2024). Enhancing Node Representations for Real-World Complex Networks with Topological Augmentation. In 27th European Conference on Artificial Intelligence (ECAI 2024).

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Xiandong Zou, Xiangyu Zhao, Pietro Liò, Yiren Zhao (2023). Will More Expressive Graph Neural Networks do Better on Generative Tasks?. In Proceedings of the 2nd Learning on Graphs Conference (LoG 2023).

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Zehui Li, Xiangyu Zhao, Mingzhu Shen, Guy-Bart Stan, Pietro Liò, Yiren Zhao (2023). Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs. arXiv preprint arXiv:2306.05108.

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Xiangyu Zhao, Hannes Stärk, Dominique Beaini, Yiren Zhao, Pietro Liò (2023). Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration. 11th International Conference on Learning Representations (ICLR 2023) Machine Learning for Drug Discovery (MLDD) Workshop.

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Xiangyu Zhao, Sean B. Holden (2022). Towards a Competitive 3-Player Mahjong AI using Deep Reinforcement Learning. In 2022 IEEE Conference on Games (CoG).

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Xiangyu Zhao, Sean B. Holden (2022). Building a 3-Player Mahjong AI using Deep Reinforcement Learning. arXiv preprint arXiv:2202.12847.

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