Articles with public access mandates - Zhao LiLearn more
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Are graph convolutional networks with random weights feasible?
C Huang, M Li, F Cao, H Fujita, Z Li, X Wu
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 2751-2768, 2022
Mandates: National Natural Science Foundation of China
Give us the facts: Enhancing large language models with knowledge graphs for fact-aware language modeling
L Yang, H Chen, Z Li, X Ding, X Wu
IEEE Transactions on Knowledge and Data Engineering, 2024
Mandates: National Natural Science Foundation of China
Poisonrec: an adaptive data poisoning framework for attacking black-box recommender systems
J Song, Z Li, Z Hu, Y Wu, Z Li, J Li, J Gao
2020 IEEE 36th international conference on data engineering (ICDE), 157-168, 2020
Mandates: National Natural Science Foundation of China
BLoG: Bootstrapped graph representation learning with local and global regularization for recommendation
M Li, L Zhang, L Cui, L Bai, Z Li, X Wu
Pattern Recognition 144, 109874, 2023
Mandates: National Natural Science Foundation of China
Online active learning for drifting data streams
S Liu, S Xue, J Wu, C Zhou, J Yang, Z Li, J Cao
IEEE Transactions on Neural Networks and Learning Systems 34 (1), 186-200, 2021
Mandates: National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China
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
Mandates: Natural Sciences and Engineering Research Council of Canada, National …
HANP-Miner: High average utility nonoverlapping sequential pattern mining
Y Wu, M Geng, Y Li, L Guo, Z Li, P Fournier-Viger, X Zhu, X Wu
Knowledge-Based Systems 229, 107361, 2021
Mandates: National Natural Science Foundation of China
Graph-based stock recommendation by time-aware relational attention network
J Gao, X Ying, C Xu, J Wang, S Zhang, Z Li
ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (1), 1-21, 2021
Mandates: National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China
Graph neural network for ethereum fraud detection
R Tan, Q Tan, P Zhang, Z Li
2021 IEEE international conference on big knowledge (ICBK), 78-85, 2021
Mandates: National Natural Science Foundation of China
Time-aware graph relational attention network for stock recommendation
X Ying, C Xu, J Gao, J Wang, Z Li
Proceedings of the 29th ACM International Conference on Information …, 2020
Mandates: National Natural Science Foundation of China
OWSP-Miner: Self-adaptive one-off weak-gap strong pattern mining
Y Wu, X Wang, Y Li, L Guo, Z Li, J Zhang, X Wu
ACM Transactions on Management Information Systems (TMIS) 13 (3), 1-23, 2022
Mandates: National Natural Science Foundation of China
Curvdrop: A ricci curvature based approach to prevent graph neural networks from over-smoothing and over-squashing
Y Liu, C Zhou, S Pan, J Wu, Z Li, H Chen, P Zhang
Proceedings of the ACM Web Conference 2023, 221-230, 2023
Mandates: Australian Research Council, National Natural Science Foundation of China
GraphNAS++: Distributed architecture search for graph neural networks
Y Gao, P Zhang, H Yang, C Zhou, Y Hu, Z Tian, Z Li, J Zhou
IEEE Transactions on Knowledge and Data Engineering 35 (7), 6973-6987, 2022
Mandates: National Natural Science Foundation of China
Dual-augment graph neural network for fraud detection
Q Li, Y He, C Xu, F Wu, J Gao, Z Li
Proceedings of the 31st ACM International Conference on Information …, 2022
Mandates: National Natural Science Foundation of China
HGNAS++: efficient architecture search for heterogeneous graph neural networks
Y Gao, P Zhang, C Zhou, H Yang, Z Li, Y Hu, SY Philip
IEEE Transactions on Knowledge and Data Engineering 35 (9), 9448-9461, 2023
Mandates: National Natural Science Foundation of China
Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data
P Wang, P Zhang, C Zhou, Z Li, H Yang
Data Mining and Knowledge Discovery 31, 32-64, 2017
Mandates: Australian Research Council, National Natural Science Foundation of China
A subgraph-based knowledge reasoning method for collective fraud detection in E-commerce
J Song, X Qu, Z Hu, Z Li, J Gao, J Zhang
Neurocomputing 461, 587-597, 2021
Mandates: National Natural Science Foundation of China
Category-aware graph neural networks for improving e-commerce review helpfulness prediction
X Qu, Z Li, J Wang, Z Zhang, P Zou, J Jiang, J Huang, R Xiao, J Zhang, ...
Proceedings of the 29th ACM International Conference on Information …, 2020
Mandates: National Natural Science Foundation of China
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