Graph Self-Supervised Learning: A Survey Y Liu, M Jin, S Pan, C Zhou, F Xia, PS Yu IEEE Transactions on Knowledge and Data Engineering, 2022 | 154 | 2022 |
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning M Jin, Y Zheng, YF Li, C Gong, C Zhou, S Pan International Joint Conference on Artificial Intelligence, 2021 | 56 | 2021 |
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection Y Zheng, M Jin, Y Liu, L Chi, KT Phan, YPP Chen IEEE Transactions on Knowledge and Data Engineering, 2021 | 26 | 2021 |
ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning M Jin, Y Liu, Y Zheng, L Chi, YF Li, S Pan Proceedings of the 30th ACM International Conference on Information …, 2021 | 19 | 2021 |
Optimized Coefficient Vector and Sparse Representation-Based Classification Method for Face Recognition S Liu, L Li, M Jin, S Hou, Y Peng IEEE Access, 2019 | 13 | 2019 |
Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs M Jin, Y Zheng, YF Li, S Chen, B Yang, S Pan IEEE Transactions on Knowledge and Data Engineering, 2022 | 8 | 2022 |
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming Y Zheng, M Jin, S Pan, YF Li, H Peng, M Li, Z Li IEEE Transactions on Neural Networks and Learning Systems, 2021 | 7 | 2021 |
Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs M Jin, YF Li, S Pan Advances in Neural Information Processing Systems, NeurIPS 2022, 2022 | 5 | 2022 |
Searching Correlated Patterns From Graph Streams M Jin, M Li, Y Zheng, L Chi IEEE Access, 2020 | 5 | 2020 |
From unsupervised to few-shot graph anomaly detection: A multi-scale contrastive learning approach Y Zheng, M Jin, Y Liu, L Chi, KT Phan, S Pan, YPP Chen arXiv preprint arXiv:2202.05525, 2022 | 4 | 2022 |
A Clickthrough Rate Prediction Algorithm Based on Users’ Behaviors X Xiong, C Xie, R Zhao, Y Li, S Ju, M Jin IEEE Access, 2019 | 4 | 2019 |
Spatiotemporal Representation Learning on Time Series with Dynamic Graph ODEs M Jin, YF Li, Y Zheng, B Yang, S Pan | 1 | 2022 |