GraphGT: Machine Learning Datasets for Graph Generation and Transformation. - Yuanqi Du; Shiyu Wang 002; Xiaojie Guo 002; Hengning Cao; Shujie Hu; Junji Jiang; Aishwarya Varala; Abhinav Angirekula; Liang Zhao 002 (NeurIPS Datasets and Benchmarks, 2021)

DeepGAR: Deep Graph Learning for Analogical Reasoning. - Chen Ling 003; Tanmoy Chowdhury; Junji Jiang; Junxiang Wang; Xuchao Zhang; Haifeng Chen; Liang Zhao 002 (ICDM, 2022)

Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems. - Chen Ling 003; Junji Jiang; Junxiang Wang; Liang Zhao 002 (KDD, 2022)

An Invertible Graph Diffusion Neural Network for Source Localization. - Junxiang Wang; Junji Jiang; Liang Zhao 002 (WWW, 2022)

Knowledge-Aware Cross-Semantic Alignment for Domain-Level Zero-Shot Recommendation. - Junji Jiang; Hongke Zhao; Ming He; Likang Wu; Kai Zhang 038; Jianping Fan 007 (CIKM, 2023)

Deep Graph Representation Learning and Optimization for Influence Maximization. - Chen Ling 003; Junji Jiang; Junxiang Wang; My T. Thai; Renhao Xue; James Song; Meikang Qiu; Liang Zhao 002 (ICML, 2023)

KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. - Likang Wu; Junji Jiang; Hongke Zhao; Hao Wang 076; Defu Lian; Mengdi Zhang 002; Enhong Chen (IJCAI, 2023)

Deep Graph Representation Learning and Optimization for Influence Maximization. - Chen Ling 003; Junji Jiang; Junxiang Wang; My T. Thai; Lukas Xue; James Song; Meikang Qiu; Liang Zhao 002 (CoRR, 2023)

Forecasting movements of stock time series based on hidden state guided deep learning approach. - Junji Jiang; Likang Wu; Hongke Zhao; Hengshu Zhu; Wei Zhang 026 (Inf. Process. Manag., 2023)

Team formation in large organizations: A deep reinforcement learning approach. - Bing Lv; Junji Jiang; Likang Wu; Hongke Zhao (Decis. Support Syst., 2024)

Quantifying uncertainty in graph neural network explanations. - Junji Jiang; Chen Ling 003; Hongyi Li; Guangji Bai; Xujiang Zhao; Liang Zhao 002 (Frontiers Big Data, 2024)

Deep graph representation learning influence maximization with accelerated inference. - Tanmoy Chowdhury; Chen Ling 003; Junji Jiang; Junxiang Wang; My T. Thai; Liang Zhao 002 (Neural Networks, 2024)

Supporting Your Idea Reasonably: A Knowledge-Aware Topic Reasoning Strategy for Citation Recommendation. - Likang Wu; Zhi Li 057; Hongke Zhao; Zhenya Huang; Yongqiang Han; Junji Jiang; Enhong Chen (IEEE Trans. Knowl. Data Eng., 2024)

Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning. - Yuyang Gao; Siyi Gu; Junji Jiang; Sungsoo Ray Hong; Dazhou Yu; Liang Zhao 002 (ACM Comput. Surv., 2024)

Enhanced Cognitive Load Detection in Air Traffic Control Operators Using EEG and a Hybrid Deep Learning Approach. - Yueying Zhou; Junji Jiang; Lijun Wang; Shanshan Liang; Hao Liu (IEEE Access, 2025)

Knowledge enhanced graph contrastive learning for match outcome prediction. - Junji Jiang; Likang Wu; Zhipeng Hu; Runze Wu 001; Xudong Shen; Hongke Zhao (Inf. Process. Manag., 2025)