Publications

Journal Articles

1. When Transformer Meets Large Graphs: An Expressive and Efficient Two-View Architecture
   Weirui Kuang, Zhen Wang, Zhewei Wei, Yaliang Li, and Bolin Ding
   IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
2. A Survey of Dynamic Graph Neural Networks
   Yanping Zheng, Lu Yi, and Zhewei Wei^*
   Frontiers of Computer Science (FCS), 2024
3. A Survey on Large Language Model Based Autonomous Agents
   Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, and Ji-Rong Wen
   Frontiers of Computer Science (FCS), 2024
   [arXiv]
4. Efficient Algorithms for Personalized PageRank Computation: A Survey
   Mingji Yang, Hanzhi Wang, Zhewei Wei^*, Sibo Wang, and Ji-Rong Wen
   IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
   [arXiv]
5. Enabling Efficient Random Access to Hierarchically Compressed Text Data on Diverse GPU Platforms
   Yihua Hu, Feng Zhang, Yifei Xia, Zhiming Yao, Letian Zeng, Haipeng Ding, Zhewei Wei, Xiao Zhang, Jidong Zhai, Xiaoyong Du, and Siqi Ma
   IEEE Transactions on Parallel and Distributed Systems (TPDS), 2023
6. Influence Maximization Revisited: Efficient Sampling with Bound Tightened
   Qintian Guo, Sibo Wang, Zhewei Wei, Wenqing Lin, and Jing Tang
   ACM Transactions on Database Systems (TODS), 2022
7. Persistent Summaries
   Tianjing Zeng, Zhewei Wei^*, Ge Luo, Ke Yi, Xiaoyong Du, and Ji-Rong Wen
   ACM Transactions on Database Systems (TODS), 2022
8. Building Graphs at Scale via Sequence of Edges: Model and Generation Algorithms
   Yu Liu, Lei Zou, and Zhewei Wei
   IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
9. ExactSim: Benchmarking Single-Source SimRank Algorithms with High-Precision Ground Truths
   Hanzhi Wang, Zhewei Wei^*, Yu Liu, Ye Yuan, Xiaoyong Du, and Ji-Rong Wen
   The VLDB Journal, 2021
10. A Game-Based Framework for Crowdsourced Data Labeling
    Jingru Yang, Ju Fan, Zhewei Wei, Guoliang Li, Tongyu Liu, and Xiaoyong Du
    The VLDB Journal, 2020
11. Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries
    Sibo Wang, Renchi Yang, Runhui Wang, Xiaokui Xiao, Zhewei Wei^*, Wenqing Lin, Yin Yang, and Nan Tang
    ACM Transactions on Database Systems (TODS), 2019
    [arXiv]
12. Parallel Trajectory-to-Location Join
    Shuo Shang, Lisi Chen, Kai Zheng, Christian S. Jensen, Zhewei Wei, and Panos Kalnis
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019
13. Distribution-Aware Crowdsourced Entity Collection
    Ju Fan, Zhewei Wei, Dongxiang Zhang, Jingru Yang, and Xiaoyong Du
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019
14. Tight Space Bounds for Two-Dimensional Approximate Range Counting
    Zhewei Wei, and Ke Yi
    ACM Transactions on Algorithms (TALG), 2018
15. Parallel Trajectory Similarity Joins in Spatial Networks
    Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Kai Zheng, and Panos Kalnis
    The VLDB Journal, 2018
16. Optimal Algorithms for Selecting Top-k Combinations of Attributes: Theory and Applications
    Chunbin Lin, Jiaheng Lu, Zhewei Wei, Jianguo Wang, and Xiaokui Xiao
    The VLDB Journal, 2017
17. Dynamic Shortest Path Monitoring in Spatial Networks
    Shuo Shang, Lisi Chen, Zhewei Wei, Danhuai Guo^*, and Ji-Rong Wen
    Journal of Computer Science and Technology (JCST), 2016
18. Collective Travel Planning in Spatial Networks
    Shuo Shang, Lisi Chen, Zhewei Wei, Christian S Jensen, Ji-Rong Wen, and Panos Kalnis
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2015
19. Indexing for Summary Queries: Theory and Practice
    Ke Yi, Lu Wang, and Zhewei Wei^*
    ACM Transactions on Database Systems (TODS), 2014
20. **Cache-Oblivious Hashing
    Rasmus Pagh, Zhewei Wei, Ke Yi, and Qin Zhang
    Algorithmica, 2013
21. **Mergeable Summaries
    Pankaj K Agarwal, Graham Cormode, Zengfeng Huang, Jeff M Phillips, Zhewei Wei, and Ke Yi
    ACM Transactions on Database Systems (TODS), 2013

Conference Articles

1. Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level
   Runlin Lei, Yuwei Hu, Yuchen Ren, and Zhewei Wei^*
   To appear in Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
2. S-MolSearch: 3D Semi-Supervised Contrastive Learning for Bioactive Molecule Search
   Gengmo Zhou, Zhen Wang, Feng Yu, Guolin Ke, Zhewei Wei^*, and Zhifeng Gao^*
   To appear in Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
   [arXiv]
3. SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-Based Agent
   Jiarui Ji, Yang Li, Hongtao Liu, Zhicheng Du, Zhewei Wei, Qi Qi, Weiran Shen, and Yankai Lin
   To appear in Conference on Empirical Methods in Natural Language Processing (EMNLP Findings), 2024
   [arXiv]
4. Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks
   Jie Peng, Runlin Lei, and Zhewei Wei^*
   To appear in The Conference on Information and Knowledge Management (CIKM), 2024
   [arXiv]
5. Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning
   Jinjia Feng, Zhen Wang, Zhewei Wei^*, Hongteng Xu, Yaliang Li, and Bolin Ding
   To appear in The Conference on Information and Knowledge Management (CIKM), 2024
6. PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer
   Jiahong Ma, Mingguo He, and Zhewei Wei^*
   ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024
   [arXiv]
7. EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction
   Yang Zhang, Wenbing Huang^*, Zhewei Wei^*, Ye Yuan, and Chongxuan Li
   International Conference on Machine Learning (ICML), 2024. (Oral)
   [arXiv]
8. Optimal Matrix Sketching over Sliding Windows
   Hanyan Yin, Dongxie Wen, Jiajun Li, Zhewei Wei^*, Xiao Zhang, Zengfeng Huang, and Feifei Li
   International Conference on Very Large Data Bases (VLDB), 2024. (Best Paper Nomination)
   [arXiv] [Code] [Poster] [Slides]
9. HierAffinity: Predicting Protein-Ligand Binding Affinity With Hierarchical Modeling
   Yang Zhang, Zhewei Wei^*, Wenbing Huang^*, and Chongxuan Li
   International Conference on Database Systems for Advanced Applications (DASFAA), 2024
10. Learning-based Property Estimation with Polynomials
    Jiajun Li, Runlin Lei, Sibo Wang, Zhewei Wei^*, and Bolin Ding
    ACM Conference on Management of Data (SIGMOD), 2024
11. **Revisiting Local Computation of PageRank: Simple and Optimal
    Hanzhi Wang, Zhewei Wei^*, Ji-Rong Wen, and Mingji Yang
    Annual ACM Symposium on Theory of Computing (STOC), 2024
    [arXiv] [Video] [Slides]
12. Exploring Neural Scaling Law and Data Pruning Methods For Node Classification on Large-scale Graphs
    Zhen Wang, Yaliang Li, Bolin Ding, Yule Li, and Zhewei Wei
    The Web Conference (TheWebConf), 2024. (Oral)
13. Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials
    Mingguo He, Zhewei Wei^*, Shikun Feng, Zhengjie Huang, Weibin Li, Yu Sun, and Dianhai Yu
    The Web Conference (TheWebConf), 2024. (Oral)
    [arXiv]
14. PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters
    Jingyu Chen, Runlin Lei, and Zhewei Wei^*
    International Conference on Learning Representations (ICLR), 2024. (Spotlight)
    [Code]
15. **Approximating Single-Source Personalized PageRank with Absolute Error Guarantees
    Zhewei Wei, Ji-Rong Wen, and Mingji Yang
    International Conference on Database Theory (ICDT), 2024
    [arXiv]
16. Do Deep Learning Methods Really Perform Better in Molecular Conformation Generation?
    Gengmo Zhou, Zhifeng Gao, Zhewei Wei, Hang Zheng, and Guolin Ke
    International Conference on Learning Representations (ICLR), 2023. (MLDD Oral)
    [arXiv]
17. Estimating Single-Node PageRank in \(\tilde{O}\left(\min\{d_t, \sqrt{m}\}\right)\)Time
    Hanzhi Wang, and Zhewei Wei^*
    International Conference on Very Large Data Bases (VLDB), 2023
    [arXiv]
18. MGNN: Graph Neural Networks Inspired by Distance Geometry Problem
    Guanyu Cui, and Zhewei Wei^*
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023
    [Code] [Poster] [Slides]
19. Optimal Dynamic Subset Sampling: Theory and Applications
    Lu Yi, Hanzhi Wang, and Zhewei Wei^*
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023
    [arXiv]
20. Clenshaw Graph Neural Networks
    Yuhe Guo, and Zhewei Wei^*
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023
    [arXiv]
21. Graph Neural Networks with Learnable and Optimal Polynomial Bases
    Yuhe Guo, and Zhewei Wei^*
    International Conference on Machine Learning (ICML), 2023
    [arXiv]
22. **On Range Summary Queries
    Peyman Afshani, Pingan Cheng, Aniket Basu Roy, and Zhewei Wei
    International Colloquium on Automata, Languages and Programming (ICALP), 2023
    [arXiv]
23. Decoupled Graph Neural Networks for Large Dynamic Graphs
    Yanping Zheng, Zhewei Wei^*, and Jiajun Liu
    International Conference on Very Large Data Bases (VLDB), 2023
    [arXiv]
24. Uni-Mol: A Universal 3D Molecular Representation Learning Framework
    Gengmo Zhou, Zhifeng Gao, Qiankun Ding, Hang Zheng, Hongteng Xu, Zhewei Wei, Linfeng Zhang, and Guolin Ke
    International Conference on Learning Representations (ICLR), 2023
25. Personalized PageRank on Evolving Graphs with an Incremental Index-Update Scheme
    Guanhao Hou, Qintian Guo, Fangyuan Zhang, Sibo Wang, and Zhewei Wei
    ACM Conference on Management of Data (SIGMOD), 2023
    [arXiv]
26. Evennet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks
    Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, and Zhewei Wei^*
    Annual Conference on Neural Information Processing Systems (NeurIPS), 2022
    [arXiv] [Code]
27. Convolutional Neural Networks On Graphs With Chebyshev Approximation, Revisited
    Mingguo He, Zhewei Wei^*, and Ji-Rong Wen
    Annual Conference on Neural Information Processing Systems (NeurIPS), 2022. (Oral)
    [arXiv] [Code]
28. Approximating Probabilistic Group Steiner Trees in Graphs
    Shuang Yang, Yahui Sun, Jiesong Liu, Xiaokui Xiao, Rong-Hua Li, and Zhewei Wei
    International Conference on Very Large Data Bases (VLDB), 2022
29. MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio
    Jinjia Feng, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei^*, and Hongteng Xu
    The Conference on Information and Knowledge Management (CIKM), 2022
30. Optimizing Random Access to Hierarchically-Compressed Data on GPU
    Feng Zhang, Yihua Hu, Haipeng Ding, Zhiming Yao, Zhewei Wei, Xiao Zhang, and Xiaoyong Du
    International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), 2022
31. Sampling-based Estimation of the Number of Distinct Values in Distributed Environment
    Jiajun Li, Zhewei Wei^*, Bolin Ding, Xiening Dai, Lu Lu, and Jingren Zhou
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022
    [arXiv]
32. Graph Neural Networks with Node-wise Architecture
    Zhen Wang, Zhewei Wei, Yaliang Li, Weirui Kuang, and Bolin Ding
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022
33. Instant Graph Neural Networks for Dynamic Graphs
    Yanping Zheng, Hanzhi Wang, Zhewei Wei^*, Jiajun Liu, and Sibo Wang
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022
    [arXiv]
34. Edge-based Local Push for Personalized PageRank
    Hanzhi Wang, Zhewei Wei^*, Junhao Gan, Ye Yuan, Xiaoyong Du, and Ji-Rong Wen
    International Conference on Very Large Data Bases (VLDB), 2022
    [arXiv]
35. Learning to be a Statistician: Learned Estimator for Number of Distinct Values
    Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, and Jingren Zhou
    International Conference on Very Large Data Bases (VLDB), 2021
    [arXiv]
36. Bernnet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
    Mingguo He, Zhewei Wei^*, Zengfeng Huang, and Hongteng Xu^*
    Annual Conference on Neural Information Processing Systems (NeurIPS), 2021
    [arXiv] [Code]
37. Approximate Graph Propagation
    Hanzhi Wang, Mingguo He, Zhewei Wei^*, Sibo Wang, Ye Yuan, Xiaoyong Du, and Ji-Rong Wen
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021
    [arXiv] [Code] [Slides]
38. Graph Neural Networks Inspired by Classical Iterative Algorithms
    Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, and David Wipf
    International Conference on Machine Learning (ICML), 2021. (Long Talk)
    [arXiv]
39. Massively Parallel Algorithms for Personalized Pagerank
    Guanhao Hou, Xingguang Chen, Sibo Wang^*, and Zhewei Wei^*
    International Conference on Very Large Data Bases (VLDB), 2021
40. Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push
    Hao Wu, Junhao Gan, Zhewei Wei^*, and Rui Zhang
    ACM Conference on Management of Data (SIGMOD), 2021
    [arXiv]
41. FlashP: an Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data
    Shuyuan Yan, Bolin Ding, Wei Guo, Jingren Zhou, Zhewei Wei, Xiaowei Jiang, and Sheng Xu
    International Conference on Very Large Data Bases (VLDB), 2021
    [arXiv]
42. Scalable Graph Neural Networks via Bidirectional Propagation
    Ming Chen, Zhewei Wei^*, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, and Ji-Rong Wen
    Annual Conference on Neural Information Processing Systems (NeurIPS), 2020
    [arXiv] [Code] [Poster] [Slides]
43. SimTab: Accuracy-Guaranteed SimRank Queries Through Tighter Confidence Bounds and Multi-Armed Bandits
    Yu Liu, Lei Zou, Qian Ge, and Zhewei Wei^*
    International Conference on Very Large Data Bases (VLDB), 2020
44. Simple and Deep Graph Convolutional Networks
    Ming Chen, Zhewei Wei^*, Zengfeng Huang, Bolin Ding, and Yaliang Li
    International Conference on Machine Learning (ICML), 2020. (World Artificial Intelligence Conference Youth Outstanding Paper Nomination Award)
    [arXiv] [Code]
45. Personalized PageRank to a Target Node, Revisited
    Hanzhi Wang, Zhewei Wei^*, Junhao Gan, Sibo Wang, and Zengfeng Huang
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020
    [arXiv] [Slides]
46. Influence Maximization Revisited: Efficient Reverse Reachable Set Generation with Bound Tightened
    Qintian Guo, Sibo Wang, Zhewei Wei^*, and Ming Chen
    ACM Conference on Management of Data (SIGMOD), 2020
47. Exact Single-Source SimRank Computation on Large Graphs
    Hanzhi Wang, Zhewei Wei^*, Ye Yuan, Xiaoyong Du, and Ji-Rong Wen
    ACM Conference on Management of Data (SIGMOD), 2020
    [arXiv] [Code] [Slides]
48. Crowdgame: A Game-Based Crowdsourcing System for Cost-Effective Data Labeling
    Tongyu Liu, Jingru Yang, Ju Fan, Zhewei Wei, Guoliang Li, and Xiaoyong Du
    ACM Conference on Management of Data (SIGMOD), 2019
49. Scalable Graph Embeddings via Sparse Transpose Proximities
    Yuan Yin, and Zhewei Wei^*
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019. (Oral)
    [arXiv] [Code] [Poster] [Slides]
50. Efficient Estimation of Heat Kernel PageRank for Local Clustering
    Renchi Yang, Xiaokui Xiao, Zhewei Wei, Sourav S. Bhowmick, Jun Zhao, and Rong-Hua Li
    ACM Conference on Management of Data (SIGMOD), 2019
    [arXiv]
51. PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs
    Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Yu Liu, Xiaoyong Du, and Ji-Rong Wen
    ACM Conference on Management of Data (SIGMOD), 2019
    [arXiv] [Code] [Poster] [Slides]
52. Cost-Effective Data Annotation Using Game-Based Crowdsourcing
    Jingru Yang, Ju Fan, Zhewei Wei, Guoliang Li, Tongyu Liu, and Xiaoyong Du
    International Conference on Very Large Data Bases (VLDB), 2018
53. TopPPR: Top-k Personalized PageRank Queries with Precision Guarantees on Large Graphs
    Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Shuo Shang, and Ji-Rong Wen
    ACM Conference on Management of Data (SIGMOD), 2018
    [Code] [Poster] [Slides]
54. **Independent Range Sampling, Revisited
    Peyman Afshani, and Zhewei Wei^*
    European Symposium on Algorithms (ESA), 2017
55. Trajectory Similarity Join in Spatial Networks
    Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Kai Zheng, and Panos Kalnis
    International Conference on Very Large Data Bases (VLDB), 2017
    [Poster]
56. ProbeSim: Scalable Single-Source and Top-k SimRank Computations on Dynamic Graphs
    Yu Liu, Bolong Zheng, Xiaodong He, Zhewei Wei^*, Xiaokui Xiao, Kai Zheng, and Jiaheng Lu
    International Conference on Very Large Data Bases (VLDB), 2017
    [arXiv] [Code] [Poster] [Slides]
57. Collective Travel Planning in Spatial Networks
    Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Ji-Rong Wen, and Panos Kalnis
    IEEE International Conference on Data Engineering (ICDE), 2017
58. Tracking Matrix Approximation over Distributed Sliding Windows
    Haida Zhang, Zengfeng Huang, Zhewei Wei, Wenjie Zhang, and Xuemin Lin
    IEEE International Conference on Data Engineering (ICDE), 2017
59. FORA: Simple and Effective Approximate Single-Source Personalized PageRank
    Sibo Wang, Renchi Yang, Xiaokui Xiao, Zhewei Wei^*, and Yin Yang
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017
    [Code] [Poster] [Slides]
60. Matrix Sketching Over Sliding Windows
    Zhewei Wei, Xuancheng Liu, Feifei Li, Shuo Shang, Xiaoyong Du, and Ji-Rong Wen
    ACM Conference on Management of Data (SIGMOD), 2016
    [Poster] [Slides]
61. Towards Maximum Independent Sets on Massive Graphs
    Yu Liu, Jiaheng Lu, Hua Yang, Xiaokui Xiao, and Zhewei Wei^*
    International Conference on Very Large Data Bases (VLDB), 2015
    [Code] [Poster] [Slides]
62. Persistent Data Sketching
    Zhewei Wei, Ge Luo, Ke Yi, Xiaoyong Du, and Ji-Rong Wen
    ACM Conference on Management of Data (SIGMOD), 2015
    [Poster] [Slides]
63. **Equivalence between Priority Queues and Sorting in External Memory
    Zhewei Wei, and Ke Yi
    European Symposium on Algorithms (ESA), 2014
    [arXiv] [Slides]
64. **The Space Complexity of 2-Dimensional Approximate Range Counting
    Zhewei Wei, and Ke Yi
    ACM-SIAM Symposium on Discrete Algorithms (SODA), 2013
    [arXiv] [Slides]
65. **Mergeable summaries
    Pankaj K. Agarwal, Graham Cormode, Zengfeng Huang, Jeff Phillips, Zhewei Wei, and Ke Yi^*
    ACM Symposium on Principles of Database Systems (PODS), 2012. (Test of Time Award)
    [Poster] [Slides]
66. **Beyond Simple Aggregates: Indexing for Summary Queries
    Zhewei Wei, and Ke Yi
    ACM Symposium on Principles of Database Systems (PODS), 2011
    [Slides]
67. **Cache-Oblivious Hashing
    Rasmus Pagh, Zhewei Wei, Ke Yi, and Qin Zhang
    ACM Symposium on Principles of Database Systems (PODS), 2010
    [Slides]
68. **Dynamic External Hashing: The Limit of Buffering
    Zhewei Wei, Ke Yi, and Qin Zhang
    ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), 2009

Theses

1. Classic and New Data Structure Problems in External Memory
   Zhewei Wei
   Hong Kong University of Science and Technology, 2012
2. Hashing Based Dictionaries in Different Memory Models
   Zhewei Wei
   PhD quantify exam survey, 2010

Preprints

1. Fast Second-Order Online Kernel Learning through Incremental Matrix Sketching and Decomposition
   Dongxie Wen, Xiao Zhang, and Zhewei Wei
   arXiv, 2024
2. Matrix Sketching in Bandits: Current Pitfalls and New Framework
   Dongxie Wen, Hanyan Yin, Xiao Zhang, and Zhewei Wei
   arXiv, 2024
3. Dynamic and Textual Graph Generation Via Large-Scale LLM-based Agent Simulation
   Jiarui Ji, Runlin Lei, Jialing Bi, Zhewei Wei, Yankai Lin, Xuchen Pan, Yaliang Li, and Bolin Ding
   arXiv, 2024
4. Scalable and Accurate Graph Reasoning with LLM-based Multi-Agents
   Yuwei Hu, Runlin Lei, Xinyi Huang, Zhewei Wei, and Yongchao Liu
   arXiv, 2024
5. Rethinking the Expressiveness of GNNs: A Computational Model Perspective
   Guanyu Cui, Zhewei Wei, and Hsin-Hao Su
   arXiv, 2024
6. Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier
   Lu Yi, and Zhewei Wei
   arXiv, 2024
7. Very Large-Scale Multi-Agent Simulation in AgentScope
   Xuchen Pan, Dawei Gao, Yuexiang Xie, Zhewei Wei, Yaliang Li, Bolin Ding, Ji-Rong Wen, and Jingren Zhou
   arXiv, 2024