Dynamic network embedding: An extended approach for skip-gram based network embedding. L Du, Y Wang, G Song, Z Lu, J Wang IJCAI 2018, 2086-2092, 2018 | 266 | 2018 |
Gpt4graph: Can large language models understand graph structured data? an empirical evaluation and benchmarking J Guo, L Du, H Liu, M Zhou, X He, S Han arXiv preprint arXiv:2305.15066, 2023 | 170 | 2023 |
GBK-GNN: Gated bi-kernel graph neural networks for modeling both homophily and heterophily L Du, X Shi, Q Fu, X Ma, H Liu, S Han, D Zhang Proceedings of the ACM Web Conference 2022, 1550-1558, 2022 | 131 | 2022 |
On the evaluation of neural code summarization E Shi, Y Wang, L Du, J Chen, S Han, H Zhang, D Zhang, H Sun Proceedings of the 44th international conference on software engineering …, 2022 | 97 | 2022 |
DANE: Domain Adaptive Network Embedding Y Zhang, G Song, L Du, S Yang, Y Jin IJCAI, 4362-4368, 2019 | 88 | 2019 |
TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data L Du, F Gao, X Chen, R Jia, J Wang, J Zhang, S Han, D Zhang ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2021 | 78 | 2021 |
Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy J Zhang, Q Fu, X Chen, L Du, Z Li, G Wang, S Han, D Zhang The Eleventh International Conference on Learning Representations (ICLR), 2023 | 72* | 2023 |
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees E Shi, Y Wang, L Du, H Zhang, S Han, D Zhang, H Sun The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021 | 68 | 2021 |
Trajgat: A graph-based long-term dependency modeling approach for trajectory similarity computation D Yao, H Hu, L Du, G Cong, S Han, J Bi Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 64 | 2022 |
Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach. L Du, Z Lu, Y Wang, G Song, Y Wang, W Chen IJCAI, 2079-2085, 2018 | 60 | 2018 |
On the Evaluation of Commit Message Generation Models: An Experimental Study W Tao, Y Wang, E Shi, L Du, H Zhang, D Zhang, W Zhang IEEE International Conference on Software Maintenance and Evolution (ICSME), 2021 | 57 | 2021 |
Towards efficient fine-tuning of pre-trained code models: An experimental study and beyond E Shi, Y Wang, H Zhang, L Du, S Han, D Zhang, H Sun Proceedings of the 32nd ACM SIGSOFT International Symposium on Software …, 2023 | 48 | 2023 |
Make heterophilic graphs better fit gnn: A graph rewiring approach W Bi, L Du, Q Fu, Y Wang, S Han, D Zhang IEEE Transactions on Knowledge and Data Engineering, 2024 | 45 | 2024 |
RACE: Retrieval-augmented commit message generation E Shi, Y Wang, W Tao, L Du, H Zhang, S Han, D Zhang, H Sun arXiv preprint arXiv:2203.02700, 2022 | 45 | 2022 |
Robust Mid-Pass Filtering Graph Convolutional Networks J Huang, L Du, X Chen, Q Fu, S Han, D Zhang Proceedings of the ACM Web Conference 2023 (WWW'23), 2023 | 43 | 2023 |
Cocosoda: Effective contrastive learning for code search E Shi, Y Wang, W Gu, L Du, H Zhang, S Han, D Zhang, H Sun 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 39 | 2023 |
Hierarchical community structure preserving network embedding: A subspace approach L Du, Q Long, Y Wang, G Song, Y Jin, W Lin ACM International Conference on Information and Knowledge Management, 409-418, 2019 | 39 | 2019 |
Source free graph unsupervised domain adaptation H Mao, L Du, Y Zheng, Q Fu, Z Li, X Chen, S Han, D Zhang Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 38 | 2024 |
Causal discovery from temporal data C Gong, D Yao, C Zhang, W Li, J Bi, L Du, J Wang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 38 | 2023 |
Homophily-oriented Heterogeneous Graph Rewiring J Guo, L Du, W Bi, Q Fu, X Ma, X Chen, S Han, D Zhang, Y Zhang Proceedings of the ACM Web Conference 2023 (WWW'23), 2023 | 38 | 2023 |