Song, Dongjin

Heterogeneous Graph Neural Network

Zhang, C., Song, D., Huang, C., Swami, A., & Chawla, N. V. (2019) · Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Advanced Graph Neural NetworksRecommender Systems and Techniques

Cited by 1,591

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects

Zhang, K., Wen, Q., Zhang, C., Cai, R., Jin, M., Liu, Y., Zhang, J. Y., Liang, Y., Pang, G., Song, D., et al. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Time Series Analysis and ForecastingDomain Adaptation and Few-Shot Learning

Cited by 295

Learning Deep Network Representations with Adversarially Regularized Autoencoders

Yu, W., Zheng, C., Cheng, W., Aggarwal, C. C., Song, D., Zong, B., Chen, H., & Wang, W. (2018) · Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Advanced Graph Neural NetworksComplex Network Analysis Techniques

Cited by 188

Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series

Wu, Y., Ni, J., Cheng, W., Zong, B., Song, D., Chen, Z., Liu, Y., Zhang, X., Chen, H., & Davidson, S. B. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Time Series Analysis and ForecastingTraffic Prediction and Management Techniques

Cited by 57

Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval

Zhu, D., Song, D., Chen, Y., Lumezanu, C., Cheng, W., Zong, B., Ni, J., Mizoguchi, T., Yang, T., & Chen, H. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Time Series Analysis and ForecastingAdvanced Image and Video Retrieval Techniques

Cited by 20