Sitao Luan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Directed Acyclic Graph

Graph Representation

Policy Evaluation

Top Venues

COMPLEX NETWORKS (1)

Publications

Yilun Zheng, Sitao Luan, Lihui Chen
What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks. CoRR (2024)
Qincheng Lu, Jiaqi Zhu, Sitao Luan, Xiao-Wen Chang
Representation Learning on Heterophilic Graph with Directional Neighborhood Attention. CoRR (2024)
Sitao Luan, Chenqing Hua, Qincheng Lu, Liheng Ma, Lirong Wu, Xinyu Wang, Minkai Xu, Xiao-Wen Chang, Doina Precup, Rex Ying, Stan Z. Li, Jian Tang, Guy Wolf, Stefanie Jegelka
The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges. CoRR (2024)
Qincheng Lu, Sitao Luan, Xiao-Wen Chang
GCEPNet: Graph Convolution-Enhanced Expectation Propagation for Massive MIMO Detection. CoRR (2024)
Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup
When Do Graph Neural Networks Help with Node Classification: Investigating the Homophily Principle on Node Distinguishability. CoRR (2023)
Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup
When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability. NeurIPS (2023)
Chenqing Hua, Sitao Luan, Minkai Xu, Rex Ying, Jie Fu, Stefano Ermon, Doina Precup
MUDiff: Unified Diffusion for Complete Molecule Generation. CoRR (2023)
Sitao Luan
On Addressing the Limitations of Graph Neural Networks. CoRR (2023)
Chenqing Hua, Sitao Luan, Minkai Xu, Zhitao Ying, Jie Fu, Stefano Ermon, Doina Precup
MUDiff: Unified Diffusion for Complete Molecule Generation. LoG (2023)
Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup
Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks. COMPLEX NETWORKS (1) (2023)
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Doina Precup
When Do We Need Graph Neural Networks for Node Classification? COMPLEX NETWORKS (1) (2023)
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup
Revisiting Heterophily For Graph Neural Networks. CoRR (2022)
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup
Revisiting Heterophily For Graph Neural Networks. NeurIPS (2022)
Sitao Luan, Mingde Zhao, Chenqing Hua, Xiao-Wen Chang, Doina Precup
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks. CoRR (2022)
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Doina Precup
When Do We Need GNN for Node Classification? CoRR (2022)
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? CoRR (2021)
Mingde Zhao, Zhen Liu, Sitao Luan, Shuyuan Zhang, Doina Precup, Yoshua Bengio
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning. CoRR (2021)
Mingde Zhao, Zhen Liu, Sitao Luan, Shuyuan Zhang, Doina Precup, Yoshua Bengio
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning. NeurIPS (2021)
Sitao Luan, Mingde Zhao, Chenqing Hua, Xiao-Wen Chang, Doina Precup
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks. CoRR (2020)
Mingde Zhao, Sitao Luan, Ian Porada, Xiao-Wen Chang, Doina Precup
META-Learning State-based Eligibility Traces for More Sample-Efficient Policy Evaluation. AAMAS (2020)
Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup
Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks. CoRR (2020)
Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks. NeurIPS (2019)
Sitao Luan, Xiao-Wen Chang, Doina Precup
Revisit Policy Optimization in Matrix Form. CoRR (2019)