| Hierarchical multi-view graph pooling with structure learning Z Zhang, J Bu, M Ester, J Zhang, Z Li, C Yao, H Dai, Z Yu, C Wang IEEE Transactions on Knowledge and Data Engineering 35 (1), 545-559, 2021 | 276* | 2021 |
| ANRL: attributed network representation learning via deep neural networks. Z Zhang, H Yang, J Bu, S Zhou, P Yu, J Zhang, M Ester, C Wang Ijcai 18, 3155-3161, 2018 | 265 | 2018 |
| Adaptive-step graph meta-learner for few-shot graph classification N Ma, J Bu, J Yang, Z Zhang, C Yao, Z Yu, S Zhou, X Yan Proceedings of the 29th ACM International Conference on Information …, 2020 | 71* | 2020 |
| H2mn: Graph similarity learning with hierarchical hypergraph matching networks Z Zhang, J Bu, M Ester, Z Li, C Yao, Z Yu, C Wang Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 52 | 2021 |
| Bert4eth: A pre-trained transformer for ethereum fraud detection S Hu, Z Zhang, B Luo, S Lu, B He, L Liu Proceedings of the ACM Web Conference 2023, 2189-2197, 2023 | 43 | 2023 |
| Learning temporal interaction graph embedding via coupled memory networks Z Zhang, J Bu, M Ester, J Zhang, C Yao, Z Li, C Wang Proceedings of the web conference 2020, 3049-3055, 2020 | 40 | 2020 |
| Image search with text feedback by deep hierarchical attention mutual information maximization C Gu, J Bu, Z Zhang, Z Yu, D Ma, W Wang Proceedings of the 29th ACM International Conference on Multimedia, 4600-4609, 2021 | 28 | 2021 |
| Learning spatial-preserved skeleton representations for few-shot action recognition N Ma, H Zhang, X Li, S Zhou, Z Zhang, J Wen, H Li, J Gu, J Bu European Conference on Computer Vision, 174-191, 2022 | 27 | 2022 |
| Context-guided entropy minimization for semi-supervised domain adaptation N Ma, J Bu, L Lu, J Wen, S Zhou, Z Zhang, J Gu, H Li, X Yan Neural Networks 154, 270-282, 2022 | 24 | 2022 |
| Cross multi-type objects clustering in attributed heterogeneous information network S Zhou, J Bu, Z Zhang, C Wang, L Ma, J Zhang Knowledge-Based Systems 194, 105458, 2020 | 18 | 2020 |
| Ai-powered fraud detection in decentralized finance: A project life cycle perspective B Luo, Z Zhang, Q Wang, A Ke, S Lu, B He ACM Computing Surveys 57 (4), 1-38, 2024 | 17 | 2024 |
| Sequence-based target coin prediction for cryptocurrency pump-and-dump S Hu, Z Zhang, S Lu, B He, Z Li Proceedings of the ACM on Management of Data 1 (1), 1-19, 2023 | 17 | 2023 |
| Rethinking propagation for unsupervised graph domain adaptation M Liu, Z Fang, Z Zhang, M Gu, S Zhou, X Wang, J Bu Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13963 …, 2024 | 16 | 2024 |
| Source-free semi-supervised domain adaptation via progressive Mixup N Ma, H Wang, Z Zhang, S Zhou, H Chen, J Bu Knowledge-based systems 262, 110208, 2023 | 16 | 2023 |
| Live graph lab: Towards open, dynamic and real transaction graphs with NFT Z Zhang, B Luo, S Lu, B He Advances in Neural Information Processing Systems 36, 18769-18793, 2023 | 12 | 2023 |
| Cyclic label propagation for graph semi-supervised learning Z Li, Y Liu, Z Zhang, S Pan, J Gao, J Bu World Wide Web 25 (2), 703-721, 2022 | 10 | 2022 |
| Collaborate to adapt: Source-free graph domain adaptation via bi-directional adaptation Z Zhang, M Liu, A Wang, H Chen, Z Li, J Bu, B He Proceedings of the ACM Web Conference 2024, 664-675, 2024 | 9 | 2024 |
| TigeCMN: On exploration of temporal interaction graph embedding via Coupled Memory Neural Networks Z Zhang, J Bu, Z Li, C Yao, C Wang, J Wu Neural Networks 140, 13-26, 2021 | 8 | 2021 |
| EX-Graph: A Pioneering Dataset Bridging Ethereum and X Q Wang, Z Zhang, Z Liu, S Lu, B Luo, B He The Twelfth International Conference on Learning Representations, 2024 | 7 | 2024 |
| Direction-aware user recommendation based on asymmetric network embedding S Zhou, X Wang, M Ester, B Li, C Ye, Z Zhang, C Wang, J Bu ACM Transactions on Information Systems (TOIS) 40 (2), 1-23, 2021 | 7 | 2021 |
