Yurui Lai

According to our database, Yurui Lai authored at least 9 papers between 2021 and 2025.

Collaborative distances:

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

2025

Simple yet Effective Graph Distillation via Clustering.

Yurui Lai, Taiyan Zhang, Renchi Yang

CoRR, May, 2025

Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs.

Taiyan Zhang, Renchi Yang, Yurui Lai, Mingyu Yan, Xiaochun Ye, Dongrui Fan

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

2024

Cost-Effective Label-free Node Classification with LLMs.

Taiyan Zhang, Renchi Yang, Mingyu Yan, Xiaochun Ye, Dongrui Fan, Yurui Lai

CoRR, 2024

Improved Topology Features for Node Classification on Heterophilic Graphs.

Yurui Lai, Taiyan Zhang, Rui Fan

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks.

Yurui Lai, Xiaoyang Lin, Renchi Yang, Hongtao Wang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Self-attention Dual Embedding for Graphs with Heterophily.

Yurui Lai, Taiyan Zhang, Rui Fan

CoRR, 2023

2022

Denoised Internal Models: A Brain-inspired Autoencoder Against Adversarial Attacks.

Kaiyuan Liu, Xingyu Li, Yurui Lai, Hang Su, Jiachen Wang, Chunxu Guo, Hong Xie, Jisong Guan, Yi Zhou

Int. J. Autom. Comput., 2022

NCCR: Neighbor and Cluster Consistency Regularization for Improving Graph Node Classification.

Feiming Yang, Yurui Lai, Leshan Wang, Rui Fan

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

2021

Denoised Internal Models: a Brain-Inspired Autoencoder against Adversarial Attacks.

Kaiyuan Liu, Xingyu Li, Yi Zhou, Jisong Guan, Yurui Lai, Ge Zhang, Hang Su, Jiachen Wang, Chunxu Guo

CoRR, 2021