Runlin Lei

19 papers A* 3A 1Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Restricted Black-Box Attack on Graphs Beyond Homophily.
IEEE Trans. Knowl. Data Eng.
Runlin Lei, Haipeng Ding, Zhewei Wei
2025 J jnl
A survey of estimating number of distinct values.
Frontiers Comput. Sci.
Jiajun Li, Runlin Lei, Zhewei Wei
2025 J jnl
CDTP: A Large-Scale Chinese Data-Text Pair Dataset for Comprehensive Evaluation of Chinese LLMs.
CoRR
Chengwei Wu, Jiapu Wang, Mingyang Gao, Xingrui Zhuo, Jipeng Guo, Runlin Lei, Haoran Luo, Tianyu Chen, Haoyi Zhou, Shirui Pan, Zechao Li
2025 J jnl
Exploring the Potential of Large Language Models as Predictors in Dynamic Text-Attributed Graphs.
CoRR
Runlin Lei, Jiarui Ji, Haipeng Ding, Lu Yi, Zhewei Wei, Yongchao Liu, Chuntao Hong
2025 J jnl
Future Link Prediction Without Memory or Aggregation.
CoRR
Lu Yi, Runlin Lei, Fengran Mo, Yanping Zheng, Zhewei Wei, Yuhang Ye
2025 J jnl
GDGB: A Benchmark for Generative Dynamic Text-Attributed Graph Learning.
CoRR
Jie Peng, Jiarui Ji, Runlin Lei, Zhewei Wei, Yongchao Liu, Chuntao Hong
2025 — conf
LLM-Based Multi-Agent Systems are Scalable Graph Generative Models.
ACL (Findings)
Jiarui Ji, Runlin Lei, Jialing Bi, Zhewei Wei, Xu Chen, Yankai Lin, Xuchen Pan, Yaliang Li, Bolin Ding
2025 J jnl
Leveraging LLM-based agents for social science research: insights from citation network simulations.
CoRR
Jiarui Ji, Runlin Lei, Xuchen Pan, Zhewei Wei, Hao Sun, Yankai Lin, Xu Chen, Yongzheng Yang, Yaliang Li, Bolin Ding, Ji-Rong Wen
2025 J jnl
Robustness in Text-Attributed Graph Learning: Insights, Trade-offs, and New Defenses.
CoRR
Runlin Lei, Lu Yi, Mingguo He, Pengyu Qiu, Zhewei Wei, Yongchao Liu, Chuntao Hong
2024 A conf
Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks.
CIKM
Jie Peng, Runlin Lei, Zhewei Wei
2024 J jnl
Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks.
CoRR
Jie Peng, Runlin Lei, Zhewei Wei
2024 J jnl
Dynamic and Textual Graph Generation Via Large-Scale LLM-based Agent Simulation.
CoRR
Jiarui Ji, Runlin Lei, Jialing Bi, Zhewei Wei, Yankai Lin, Xuchen Pan, Yaliang Li, Bolin Ding
2024 A* conf
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level.
NeurIPS
Runlin Lei, Yuwei Hu, Yuchen Ren, Zhewei Wei
2024 J jnl
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level.
CoRR
Runlin Lei, Yuwei Hu, Yuchen Ren, Zhewei Wei
2024 J jnl
Learning-based Property Estimation with Polynomials.
Proc. ACM Manag. Data
Jiajun Li, Runlin Lei, Sibo Wang, Zhewei Wei, Bolin Ding
2024 A* conf
PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters.
ICLR
Jingyu Chen, Runlin Lei, Zhewei Wei
2024 J jnl
Scalable and Accurate Graph Reasoning with LLM-based Multi-Agents.
CoRR
Yuwei Hu, Runlin Lei, Xinyi Huang, Zhewei Wei, Yongchao Liu
2022 A* conf
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks.
NeurIPS
Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei
2022 J jnl
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks.
CoRR
Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei