Gang Liu
Cited by
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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
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
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
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
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
Time series data fusion based on evidence theory and OWA operator
G Liu, F Xiao
Sensors 19 (5), 1171, 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
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
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
Explaining tree model decisions in natural language for network intrusion detection
N Ziems, G Liu, J Flanagan, M Jiang
NeurIPS XAIA 2023, 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
Motif-aware attribute masking for molecular graph pre-training
E Inae, G Liu, M Jiang
arXiv preprint arXiv:2309.04589, 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
Explaining AI-Informed Network Intrusion Detection with Counterfactuals
G Liu, M Jiang
IEEE INFOCOM 2023-IEEE Conference on Computer Communications Workshops …, 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
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
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
Inverse Molecular Design with Multi-Conditional Diffusion Guidance
G Liu, J Xu, T Luo, M Jiang
arXiv preprint arXiv:2401.13858, 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
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