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 | 90* | 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 | 87 | 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 | 53 | 2020 |
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 | 49 | 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 | 28 | 2023 |
Time series data fusion based on evidence theory and OWA operator G Liu, F Xiao Sensors 19 (5), 1171, 2019 | 15 | 2019 |
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 | 11 | 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 | 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 |
Explaining tree model decisions in natural language for network intrusion detection N Ziems, G Liu, J Flanagan, M Jiang NeurIPS XAIA 2023, 2023 | 5 | 2023 |
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 |
Motif-aware attribute masking for molecular graph pre-training E Inae, G Liu, M Jiang arXiv preprint arXiv:2309.04589, 2023 | 4 | 2023 |
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 |
Explaining AI-Informed Network Intrusion Detection with Counterfactuals G Liu, M Jiang IEEE INFOCOM 2023-IEEE Conference on Computer Communications Workshops …, 2023 | 1 | 2023 |
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, ... arXiv preprint arXiv:2403.03310, 2024 | | 2024 |
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 | | 2024 |
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, ... arXiv preprint arXiv:2402.05138, 2024 | | 2024 |
Inverse Molecular Design with Multi-Conditional Diffusion Guidance G Liu, J Xu, T Luo, M Jiang arXiv preprint arXiv:2401.13858, 2024 | | 2024 |
Machine learning-assisted discovery of high-performance polymer membranes for gas separation J Xu, A Suleiman, G Liu, M Jiang, R Guo, T Luo APS March Meeting Abstracts 2023, S03. 011, 2023 | | 2023 |