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Journal Articles
- 2025
[j2]Jiajun Li, Runlin Lei, Zhewei Wei:
A survey of estimating number of distinct values. Frontiers Comput. Sci. 19(9): 199611 (2025)- 2024
- [j1]Jiajun Li
, Runlin Lei, Sibo Wang, Zhewei Wei, Bolin Ding:
Learning-based Property Estimation with Polynomials. Proc. ACM Manag. Data 2(3): 148 (2024)
Conference and Workshop Papers
- 2025
- [c5]Jiarui Ji, Runlin Lei, Jialing Bi, Zhewei Wei, Xu Chen, Yankai Lin, Xuchen Pan, Yaliang Li, Bolin Ding:
LLM-Based Multi-Agent Systems are Scalable Graph Generative Models. ACL (Findings) 2025: 1492-1523 - 2024
- [c4]Jie Peng, Runlin Lei, Zhewei Wei:
Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks. CIKM 2024: 1878-1887 - [c3]Jingyu Chen, Runlin Lei, Zhewei Wei:
PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters. ICLR 2024 - [c2]Runlin Lei, Yuwei Hu, Yuchen Ren, Zhewei Wei:
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level. NeurIPS 2024 - 2022
- [c1]Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei:
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks. NeurIPS 2022
Informal and Other Publications
- 2025
- [i10]Runlin Lei, Jiarui Ji, Haipeng Ding, Lu Yi, Zhewei Wei, Yongchao Liu, Chuntao Hong:
Exploring the Potential of Large Language Models as Predictors in Dynamic Text-Attributed Graphs. CoRR abs/2503.03258 (2025) - [i9]Lu Yi, Runlin Lei, Fengran Mo, Yanping Zheng, Zhewei Wei, Yuhang Ye:
Future Link Prediction Without Memory or Aggregation. CoRR abs/2505.19408 (2025) - [i8]Jie Peng, Jiarui Ji, Runlin Lei, Zhewei Wei, Yongchao Liu, Chuntao Hong:
GDGB: A Benchmark for Generative Dynamic Text-Attributed Graph Learning. CoRR abs/2507.03267 (2025) - [i7]Chengwei Wu, Jiapu Wang, Mingyang Gao, Xingrui Zhuo, Jipeng Guo, Runlin Lei, Haoran Luo, Tianyu Chen, Haoyi Zhou, Shirui Pan, Zechao Li:
CDTP: A Large-Scale Chinese Data-Text Pair Dataset for Comprehensive Evaluation of Chinese LLMs. CoRR abs/2510.06039 (2025) - [i6]Runlin Lei, Lu Yi, Mingguo He, Pengyu Qiu, Zhewei Wei, Yongchao Liu, Chuntao Hong:
Robustness in Text-Attributed Graph Learning: Insights, Trade-offs, and New Defenses. CoRR abs/2510.17185 (2025) - 2024
- [i5]Runlin Lei, Yuwei Hu, Yuchen Ren, Zhewei Wei:
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level. CoRR abs/2405.16405 (2024) - [i4]Jie Peng, Runlin Lei, Zhewei Wei:
Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks. CoRR abs/2408.03669 (2024) - [i3]Yuwei Hu, Runlin Lei, Xinyi Huang, Zhewei Wei, Yongchao Liu:
Scalable and Accurate Graph Reasoning with LLM-based Multi-Agents. CoRR abs/2410.05130 (2024) - [i2]Jiarui Ji, Runlin Lei, Jialing Bi, Zhewei Wei, Yankai Lin, Xuchen Pan, Yaliang Li, Bolin Ding:
Dynamic and Textual Graph Generation Via Large-Scale LLM-based Agent Simulation. CoRR abs/2410.09824 (2024) - 2022
- [i1]Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei:
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks. CoRR abs/2205.13892 (2022)
Coauthor Index
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