Zhao Xu

Affiliations:
  • Texas A&M University, Department of Computer Science and Engineering, College Station, TX, USA


According to our database1, Zhao Xu authored at least 14 papers between 2020 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
3D Molecular Geometry Analysis with 2D Graphs.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

2023
Self-Supervised Learning of Graph Neural Networks: A Unified Review.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.
CoRR, 2023

A Text-guided Protein Design Framework.
CoRR, 2023

Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian.
Proceedings of the International Conference on Machine Learning, 2023

2022
Frontiers of Graph Neural Networks with DIG.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Self-Supervised Representation Learning via Latent Graph Prediction.
Proceedings of the International Conference on Machine Learning, 2022

2021
DIG: A Turnkey Library for Diving into Graph Deep Learning Research.
J. Mach. Learn. Res., 2021

Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs.
CoRR, 2021

Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks.
CoRR, 2021

Stochastic Optimization of Area Under Precision-Recall Curve for Deep Learning with Provable Convergence.
CoRR, 2021

Self-Supervised Learning of Graph Neural Networks: A Unified Review.
CoRR, 2021

Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
MoleculeKit: Machine Learning Methods for Molecular Property Prediction and Drug Discovery.
CoRR, 2020


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