Yatao Bian

Self-Supervised Graph Transformer on Large-Scale Molecular Data

Yu Rong, Yatao Bian, Tingyang Xu et al. · arXiv (Cornell University) · 2020 · 414 citations · Full text

Geometric Learning, Graph Representation Learning, Machine Learning +20

Cross-dependent graph neural networks for molecular property prediction

Hehuan Ma, Yatao Bian, Yu Rong et al. · Bioinformatics · 2022 · 74 citations

Transformer for Graphs: An Overview from Architecture Perspective

Erxue Min, Runfa Chen, Yatao Bian et al. · arXiv (Cornell University) · 2022 · 73 citations · Full text

Engineering, Machine Learning, Architecture Perspective +17

Guarantees for Greedy Maximization of Non-submodular Functions with Applications

Yatao Bian, Joachim M. Buhmann, Andreas Krause et al. · arXiv (Cornell University) · 2017 · 69 citations · Full text

Mathematical Programming, Large-scale Global Optimization, Parametric Programming +15

Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media

Erxue Min, Yu Rong, Yatao Bian et al. · Proceedings of the ACM Web Conference 2022 · 2022 · 67 citations

Fake News, Social Context, Engineering +18