Chaohao Yuan

According to our database, Chaohao Yuan authored at least 9 papers between 2022 and 2026.

Collaborative distances:

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

2026

Unifying structural proximity and equivalence for enhanced dynamic network embedding.

Suchanuch Piriyasatit, Chaohao Yuan, Ercan Engin Kuruoglu

Expert Syst. Appl., 2026

2025

A Survey of Graph Transformers: Architectures, Theories and Applications.

Chaohao Yuan, Kangfei Zhao, Ercan Engin Kuruoglu, Liang Wang, Tingyang Xu, Wenbing Huang, Deli Zhao, Hong Cheng, Yu Rong

CoRR, February, 2025

Annotation-guided Protein Design with Multi-Level Domain Alignment.

Chaohao Yuan, Songyou Li, Geyan Ye, Yikun Zhang, Long-Kai Huang, Wenbing Huang, Wei Liu, Jianhua Yao, Yu Rong

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

ASD Classification on Dynamic Brain Connectome using Temporal Random Walk with Transformer-based Dynamic Network Embedding.

Suchanuch Piriyasatit, Chaohao Yuan, Ercan Engin Kuruoglu

Proceedings of the International Joint Conference on Neural Networks, 2025

IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck.

Tian Bian, Yifan Niu, Chaohao Yuan, Chengzhi Piao, Bingzhe Wu, Long-Kai Huang, Yu Rong, Tingyang Xu, Hong Cheng, Jia Li

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Atomas: Hierarchical Adaptive Alignment on Molecule-Text for Unified Molecule Understanding and Generation.

Yikun Zhang, Geyan Ye, Chaohao Yuan, Bo Han, Long-Kai Huang, Jianhua Yao, Wei Liu, Yu Rong

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Atomas: Hierarchical Alignment on Molecule-Text for Unified Molecule Understanding and Generation.

Yikun Zhang, Geyan Ye, Chaohao Yuan, Bo Han, Long-Kai Huang, Jianhua Yao, Wei Liu, Yu Rong

CoRR, 2024

Functional Protein Design with Local Domain Alignment.

Chaohao Yuan, Songyou Li, Geyan Ye, Yikun Zhang, Long-Kai Huang, Wenbing Huang, Wei Liu, Jianhua Yao, Yu Rong

CoRR, 2024

2022

Distilling Causal Metaknowledge from Knowledge Graphs.

Yuan Meng, Yancheng Dong, Shixuan Liu, Chaohao Yuan, Yue He, Jian Pei, Peng Cui

IEEE Data Eng. Bull., 2022