Long, Guodong

A Comprehensive Survey on Graph Neural Networks

Wu, Z., Pan, S., Chen, F., Long, G., Zhang, C., & Yu, P. S. (2021) · IEEE Transactions on Neural Networks and Learning Systems

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 11,000

Adversarially Regularized Graph Autoencoder for Graph Embedding

Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018) · Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 929

DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding

Shen, T., Zhou, T., Long, G., Jiang, J., Pan, S., & Zhang, C. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 779

Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health

Long, G., Shen, T., Tan, Y., Gerrard, L., Clarke, A., & Jiang, J. (2022) · Humanity Driven AI

Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and Education

Cited by 85

Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph

Liu, L., Zhou, T., Long, G., Jiang, J., Yao, L., & Zhang, C. (2019) · Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 65

Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning

Shen, T., Mao, Y., He, P., Long, G., Trischler, A., & Chen, W. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Topic ModelingAdvanced Graph Neural Networks

Cited by 63

Multi-modality Sensor Data Classification with Selective Attention

Zhang, X., Yao, L., Huang, C., Wang, S., Tan, M., Long, G., & Wang, C. (2018) · Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence

Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting

Cited by 41