Context-sensitive graph representation learning 👤 Jisheng Qin, Xiaoqin Zeng, and Yang Zou. 🏛️ To appear in International Journal of Machine Learning and Cybernetics. Graph LearningRepresentation Learning
Heterogeneity Modeling with Flexibility-based Graph Neural Networks 👤 Jisheng Qin, Tao Tao, Zijie Liu, Haibo Chen and Shenghui Zhao. 🏛️ To appear in 2024 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA). Graph LearningGNNHeterogeneity
Modeling Heterogeneity with Flexible and Semantic Aligned Graph Neural Networks 👤 Wantong Sui, Zijie Liu, Shenghui Zhao and Jisheng Qin*. 🏛️ To appear in 2024 International Applied Computational Electromagnetics Society Symposium (ACES-China). Graph LearningGNNHeterogeneitySemantic Alignment
Structural reinforcement-based graph convolutional networks 👤 Jisheng Qin, Qianqian Wang, and Tao Tao. 🏛️ To appear in Connection Science. Graph LearningGNN
Multi-Semantic Alignment Graph Convolutional Network 👤 Jisheng Qin, Xiaoqin Zeng, and Yang Zou. 🏛️ To appear in Connection Science. Graph LearningGNNSemantic Alignment
Feature recommendation strategy for graph convolutional network 👤 Jisheng Qin, Xiaoqin Zeng, and Yang Zou. 🏛️ To appear in Connection Science. Graph LearningGNNRecommendation
E-GCN: graph convolution with estimated labels 👤 Jisheng Qin, Shengli Wu, and E Tang. 🏛️ To appear in Applied Intelligence. Graph LearningGNNSemi-supervised Learning
Efficient Group-Aware Graph Neural Network for Air Quality Forecasting in Small-scale Spaces 👤 Jisheng Qin, Zijie Liu, Wantong Sui and Shenghui Zhao. 🏛️ To appear in 2024 International Applied Computational Electromagnetics Society Symposium (ACES-China). Graph LearningGNNForecasting