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- [2] A Generalization of Recurrent Neural Networks for Graph Embedding ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2018, PT II, 2018, 10938 : 247 - 259
- [3] Generalization and Representational Limits of Graph Neural Networks INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 119, 2020, 119
- [4] Stability and Generalization of Graph Convolutional Neural Networks KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2019, : 1539 - 1548
- [5] Subgroup Generalization and Fairness of Graph Neural Networks ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 34 (NEURIPS 2021), 2021,
- [6] SEA: Graph Shell Attention in Graph Neural Networks MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2022, PT II, 2023, 13714 : 326 - 343
- [7] Understanding Dropout for Graph Neural Networks COMPANION PROCEEDINGS OF THE WEB CONFERENCE 2022, WWW 2022 COMPANION, 2022, : 1128 - 1138
- [9] On the Topology Awareness and Generalization Performance of Graph Neural Networks COMPUTER VISION - ECCV 2024, PT LXXXIV, 2025, 15142 : 73 - 89
- [10] Graph Attention Networks for Neural Social Recommendation 2019 IEEE 31ST INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2019), 2019, : 1320 - 1327