Longlong Lin

According to our database, Longlong Lin authored at least 45 papers between 2018 and 2026.

Collaborative distances:

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

2026

Scalable Similarity Search Over Large Attributed Bipartite Graphs.

Xi Ou, Longlong Lin, Zeli Wang, Pingpeng Yuan, Rong-Hua Li

IEEE Trans. Knowl. Data Eng., May, 2026

Robust Smart Contract Vulnerability Detection via Contrastive Learning-Enhanced Granular-ball Training.

Zeli Wang, Qingxuan Yang, Shuyin Xia, Yueming Wu, Bo Liu, Longlong Lin

CoRR, March, 2026

NCSAC: Effective Neural Community Search via Attribute-Augmented Conductance.

Longlong Lin, Quanao Li, Miao Qiao, Zeli Wang, Jin Zhao, Rong-Hua Li, Xin Luo, Tao Jia

IEEE Trans. Knowl. Data Eng., February, 2026

Pseudoarboricity-Based Skyline Important Community Search in Large Networks.

Jiaqi Jiang, Rong-Hua Li, Longlong Lin, Yalong Zhang, Yue Zeng, Xiaowei Ye, Guoren Wang

IEEE Trans. Knowl. Data Eng., February, 2026

Dual Channel Graph Convolutional Networks via Personalized PageRank.

Longlong Lin, Xin Luo

IEEE CAA J. Autom. Sinica, January, 2026

Theoretically and Practically Efficient Resistance Distance Computation on Large Graphs.

Yichun Yang, Longlong Lin, Rong-Hua Li, Meihao Liao, Guoren Wang

CoRR, January, 2026

GDBA: Defending graph neural networks via attribute debiasing.

Zhiqiu Ye, Longlong Lin, Jie Li, Tao Liu, Zeli Wang

Expert Syst. Appl., 2026

GFork: A gated fusion network on multi-granularity heterogeneous pruning graphs for effective text classification.

Zeli Wang, Yifan Guan, Longlong Lin, Guoyin Wang

Expert Syst. Appl., 2026

From Representation to Clusters: A Contrastive Learning Approach for Attributed Hypergraph Clustering.

Li Ni, Shuaikang Zeng, Lin Mu, Longlong Lin

Proceedings of the ACM Web Conference 2026, 2026

Scalable and Provable Biclique-Preserving Clustering: The Power of Counting-based Approaches.

Longlong Lin, Zeli Wang, Rong-Hua Li, Xiaohai Dai, Li Ni, Jin Zhao

Proceedings of the ACM Web Conference 2026, 2026

DTMiner: A Data-Centric System for Efficient Temporal Motif Mining.

Yinbo Hou, Hao Qi, Ligang He, Jin Zhao, Yu Zhang, Hui Yu, Longlong Lin, Lin Gu, Wenbin Jiang, Xiaofei Liao, Hai Jin

Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2026

2025

Effective and Efficient Conductance-Based Community Search at Billion Scale.

Longlong Lin, Yue He, Wei Chen, Pingpeng Yuan, Rong-Hua Li, Tao Jia

IEEE Trans. Big Data, December, 2025

Provable Higher-Order Graph Clustering: The Power of Peeling-Based Approaches.

Longlong Lin, Zeli Wang, Rong-Hua Li, Qiyu Liu, Hongchao Qin, Jin Zhao

IEEE Trans. Knowl. Data Eng., September, 2025

Integral Densest Subgraph Search on Directed Graphs.

Yalong Zhang, Rong-Hua Li, Longlong Lin, Qi Zhang, Lu Qin, Guoren Wang

Proc. ACM Manag. Data, June, 2025

Why Are Learned Indexes So Effective but Sometimes Ineffective?

Qiyu Liu, Siyuan Han, Yanlin Qi, Jingshu Peng, Jin Li, Longlong Lin, Lei Chen

Proc. VLDB Endow., May, 2025

Truss Decomposition in Hypergraphs.

Hongchao Qin, Guang Zeng, Ronghua Li, Longlong Lin, Ye Yuan, Guoren Wang

Proc. VLDB Endow., March, 2025

One Index for All: Towards Efficient Personalized PageRank Computation for Every Damping Factor.

Junjie Zhou, Meihao Liao, Rong-Hua Li, Longlong Lin, Guoren Wang

Proc. ACM Manag. Data, 2025

Reproducibility Report for ACM SIGMOD 2025 Paper: 'Clementi: Efficient Load Balancing and Communication Overlap for Multi-FPGA Graph Processing'.

Longlong Lin, Anas Ait Aomar

Proceedings of the Reproducibility Reports of the 2025 International Conference on Management of Data, 2025

CoATA: Effective Co-Augmentation of Topology and Attribute for Graph Neural Networks.

Tao Liu, Longlong Lin, Yunfeng Yu, Xi Ou, Youan Zhang, Zhiqiu Ye, Tao Jia

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

On Temporal-Constraint Subgraph Matching.

Xiaoyu Leng, Guang Zeng, Hongchao Qin, Longlong Lin, Rong-Hua Li

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

A Data-Centric Hardware Accelerator for Efficient Adaptive Radix Tree.

Jin Zhao, Yu Zhang, Jun Huang, Weihang Yin, Hui Yu, Hao Qi, Zixiao Wang, Longlong Lin, Xiaofei Liao, Hai Jin

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

TempGraph: An Efficient Chain-driven Temporal Graph Computing Framework on the GPU.

Jin Zhao, Qian Wang, Ligang He, Yu Zhang, Sheng Di, Bingsheng He, Xinlei Wang, Hui Yu, Hao Qi, Longlong Lin, Linchen Yu, Xiaofei Liao, Hai Jin

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

Achieving Efficient Temporal Graph Transformation on the GPU.

Linchen Yu, Zihan Li, Jin Zhao, Longlong Lin, Hengshan Yue

Proceedings of the Advanced Parallel Processing Technologies, 2025

2024

Topology-preserving Graph Coarsening: An Elementary Collapse-based Approach.

Yuchen Meng, Ronghua Li, Longlong Lin, Xunkai Li, Guoren Wang

Proc. VLDB Endow., September, 2024

Effective Temporal Graph Learning via Personalized PageRank.

Ziyu Liao, Tao Liu, Yue He, Longlong Lin

Entropy, July, 2024

QTCS: Efficient Query-Centered Temporal Community Search.

Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Chunxue Zhu, Hongchao Qin, Hai Jin, Tao Jia

Proc. VLDB Endow., February, 2024

CCSS: Towards conductance-based community search with size constraints.

Yue He, Longlong Lin, Pingpeng Yuan, Ronghua Li, Tao Jia, Zeli Wang

Expert Syst. Appl., 2024

Fast Biclique Counting on Bipartite Graphs: A Node Pivot-based Approach.

Xiaowei Ye, Rong-Hua Li, Longlong Lin, Shaojie Qiao, Guoren Wang

CoRR, 2024

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach.

Yichun Yang, Rong-Hua Li, Meihao Liao, Longlong Lin, Guoren Wang

CoRR, 2024

Towards Truss-Based Temporal Community Search.

Huihui Yang, Chunxue Zhu, Longlong Lin, Pingpeng Yuan

CoRR, 2024

GSD-GNN: Generalizable and Scalable Algorithms for Decoupled Graph Neural Networks.

Yunfeng Yu, Longlong Lin, Qiyu Liu, Zeli Wang, Xi Ou, Tao Jia

Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

GB_RAIN: Combating Textual Label Noise by Granular-ball based Robust Training.

Zeli Wang, Tuo Zhang, Shuyin Xia, Longlong Lin, Guoyin Wang

Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Text Adversarial Defense via Granular-Ball Sample Enhancement.

Zeli Wang, Jian Li, Shuyin Xia, Longlong Lin, Guoyin Wang

Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Efficient and Effective Anchored Densest Subgraph Search: A Convex-programming based Approach.

Xiaowei Ye, Rong-Hua Li, Lei Liang, Zhizhen Liu, Longlong Lin, Guoren Wang

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

PSMC: Provable and Scalable Algorithms for Motif Conductance Based Graph Clustering.

Longlong Lin, Tao Jia, Zeli Wang, Jin Zhao, Rong-Hua Li

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

PSNE: Efficient Spectral Sparsification Algorithms for Scaling Network Embedding.

Longlong Lin, Yunfeng Yu, Zihao Wang, Zeli Wang, Yuying Zhao, Jin Zhao, Tao Jia

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Query-Centered Temporal Community Search via Time-Constrained Personalized PageRank.

Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Chunxue Zhu, Hongchao Qin, Hai Jin, Tao Jia

CoRR, 2023

Scalable and Effective Conductance-Based Graph Clustering.

Longlong Lin, Ronghua Li, Tao Jia

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Mining Stable Quasi-Cliques on Temporal Networks.

Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Jifei Wang, Ling Liu, Hai Jin

IEEE Trans. Syst. Man Cybern. Syst., 2022

Mining Diversified Top-$r$r Lasting Cohesive Subgraphs on Temporal Networks.

Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Hai Jin

IEEE Trans. Big Data, 2022

Discovering Cohesive Temporal Subgraphs with Temporal Density Aware Exploration.

Chun-Xue Zhu, Longlong Lin, Pingpeng Yuan, Hai Jin

J. Comput. Sci. Technol., 2022

Significant Engagement Community Search on Temporal Networks: Concepts and Algorithms.

Yifei Zhang, Longlong Lin, Pingpeng Yuan, Hai Jin

CoRR, 2022

Significant Engagement Community Search on Temporal Networks.

Yifei Zhang, Longlong Lin, Pingpeng Yuan, Hai Jin

Proceedings of the Database Systems for Advanced Applications, 2022

2019

Big RDF Data Storage, Computation, and Analysis: A Strawman's Arguments.

Pingpeng Yuan, Longlong Lin, Zhijuan Kou, Ling Liu, Hai Jin

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

2018

Fully Dynamic Broadcasting under SINR.

Dongxiao Yu, Longlong Lin, Yong Zhang, Jiguo Yu, Yifei Zou, Qiang-Sheng Hua, Xiuzhen Cheng

Proceedings of the 37th IEEE International Performance Computing and Communications Conference, 2018