| Learning from counterfactual links for link prediction T Zhao, G Liu, D Wang, W Yu, M Jiang International Conference on Machine Learning, 26911-26926, 2022 | 99* | 2022 |
| Graph data augmentation for graph machine learning: A survey T Zhao, W Jin, Y Liu, Y Wang, G Liu, S Günnemann, N Shah, M Jiang IEEE Data Engineering Bulletin, 2023 | 94 | 2023 |
| Graph Rationalization with Environment-based Augmentations G Liu, T Zhao, J Xu, T Luo, M Jiang Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 63 | 2022 |
| Large language models on graphs: A comprehensive survey B Jin, G Liu, C Han, M Jiang, H Ji, J Han arXiv preprint arXiv:2312.02783, 2023 | 56 | 2023 |
| A fuzzy interval time-series energy and financial forecasting model using network-based multiple time-frequency spaces and the induced-ordered weighted averaging aggregation … G Liu, F Xiao, CT Lin, Z Cao IEEE Transactions on Fuzzy Systems 28 (11), 2677-2690, 2020 | 55 | 2020 |
| Data-Centric Learning from Unlabeled Graphs with Diffusion Model G Liu, E Inae, T Zhao, J Xu, T Luo, M Jiang Advances in neural information processing systems, 2023 | 17 | 2023 |
| Time series data fusion based on evidence theory and OWA operator G Liu, F Xiao Sensors 19 (5), 1171, 2019 | 15 | 2019 |
| Explaining tree model decisions in natural language for network intrusion detection N Ziems, G Liu, J Flanagan, M Jiang NeurIPS XAIA 2023, 2023 | 9 | 2023 |
| Semi-Supervised Graph Imbalanced Regression G Liu, T Zhao, E Inae, T Luo, M Jiang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 9 | 2023 |
| Motif-aware attribute masking for molecular graph pre-training E Inae, G Liu, M Jiang arXiv preprint arXiv:2309.04589, 2023 | 7 | 2023 |
| Network immunization strategy by eliminating fringe nodes: A percolation perspective G Liu, Y Deng, KH Cheong IEEE Transactions on Systems, Man, and Cybernetics: Systems 53 (3), 1862-1871, 2022 | 6 | 2022 |
| A data-driven dynamic data fusion method based on visibility graph and evidence theory G Liu, F Xiao IEEE Access 7, 104443-104452, 2019 | 5 | 2019 |
| Rationalizing graph neural networks with data augmentation G Liu, E Inae, T Luo, M Jiang ACM Transactions on Knowledge Discovery from Data 18 (4), 1-23, 2024 | 3 | 2024 |
| On the Relationship between Counterfactual Explainer and Recommender: A Framework and Preliminary Observations G Liu, Z Zhang, Z Ning, M Jiang KDD DSAI4RRS Workshop 2022, 2022 | 2 | 2022 |
| SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark Z Liang, K Guo, G Liu, T Guo, Y Zhou, T Yang, J Jiao, R Pi, J Zhang, ... The 62nd Annual Meeting of the Association for Computational Linguistics, 2024 | 1 | 2024 |
| Graph Diffusion Transformer for Multi-Conditional Molecular Generation G Liu, J Xu, T Luo, M Jiang arXiv preprint arXiv:2401.13858, 2024 | 1* | 2024 |
| Explaining AI-Informed Network Intrusion Detection with Counterfactuals G Liu, M Jiang IEEE INFOCOM 2023-IEEE Conference on Computer Communications Workshops …, 2023 | 1 | 2023 |
| Learning Molecular Representation in a Cell G Liu, S Seal, J Arevalo, Z Liang, AE Carpenter, M Jiang, S Singh arXiv preprint arXiv:2406.12056, 2024 | | 2024 |
| Superior Polymeric Gas Separation Membrane Designed by Explainable Graph Machine Learning J Xu, A Suleiman, G Liu, M Perez, R Zhang, M Jiang, R Guo, T Luo arXiv preprint arXiv:2404.10903, 2024 | | 2024 |
| Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm Z Liang, G Liu, Z Liu, J Cheng, T Hao, K Liu, H Ren, Z Song, J Liu, F Ye, ... 61st ACM/IEEE Design Automation Conference, 2024 | | 2024 |
Meng JiangUniversity of Notre Dame在 nd.edu 的电子邮件经过验证
