Sitao Luan

According to our database, Sitao Luan authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Representation Learning on Heterophilic Graph with Directional Neighborhood Attention.

Qincheng Lu, Jiaqi Zhu, Sitao Luan, Xiao-Wen Chang

CoRR, 2024

2023

On Addressing the Limitations of Graph Neural Networks.

Sitao Luan

CoRR, 2023

MUDiff: Unified Diffusion for Complete Molecule Generation.

Chenqing Hua, Sitao Luan, Minkai Xu, Rex Ying, Jie Fu, Stefano Ermon, Doina Precup

CoRR, 2023

When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability.

Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks.

Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup

Proceedings of the Complex Networks & Their Applications XII, 2023

When Do We Need Graph Neural Networks for Node Classification?

Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Doina Precup

Proceedings of the Complex Networks & Their Applications XII, 2023

2022

Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks.

Sitao Luan, Mingde Zhao, Chenqing Hua, Xiao-Wen Chang, Doina Precup

CoRR, 2022

When Do We Need GNN for Node Classification?

Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Doina Precup

CoRR, 2022

Revisiting Heterophily For Graph Neural Networks.

Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?

Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup

CoRR, 2021

A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning.

Mingde Zhao, Zhen Liu, Sitao Luan, Shuyuan Zhang, Doina Precup, Yoshua Bengio

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks.

Sitao Luan, Mingde Zhao, Chenqing Hua, Xiao-Wen Chang, Doina Precup

CoRR, 2020

META-Learning State-based Eligibility Traces for More Sample-Efficient Policy Evaluation.

Mingde Zhao, Sitao Luan, Ian Porada, Xiao-Wen Chang, Doina Precup

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Revisit Policy Optimization in Matrix Form.

Sitao Luan, Xiao-Wen Chang, Doina Precup

CoRR, 2019

Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks.

Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019