Junji Jiang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 16

Top Topics

Inverse Problems

Source Localization

Top Venues

Inf. Process. Manag.

Publications

Junji Jiang, Chen Ling, Hongyi Li, Guangji Bai, Xujiang Zhao, Liang Zhao
Quantifying uncertainty in graph neural network explanations. Frontiers Big Data 7 (2024)
Yuyang Gao, Siyi Gu, Junji Jiang, Sungsoo Ray Hong, Dazhou Yu, Liang Zhao
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning. ACM Comput. Surv. 56 (7) (2024)
Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. CoRR (2023)
Junji Jiang, Hongke Zhao, Ming He, Likang Wu, Kai Zhang, Jianping Fan
Knowledge-Aware Cross-Semantic Alignment for Domain-Level Zero-Shot Recommendation. CIKM (2023)
Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Renhao Xue, James Song, Meikang Qiu, Liang Zhao
Deep Graph Representation Learning and Optimization for Influence Maximization. ICML (2023)
Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. IJCAI (2023)
Junji Jiang, Likang Wu, Hongke Zhao, Hengshu Zhu, Wei Zhang
Forecasting movements of stock time series based on hidden state guided deep learning approach. Inf. Process. Manag. 60 (3) (2023)
Chen Ling, Junji Jiang, Junxiang Wang, My Thai, Lukas Xue, James Song, Meikang Qiu, Liang Zhao
Deep Graph Representation Learning and Optimization for Influence Maximization. CoRR (2023)
Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao
DeepGAR: Deep Graph Learning for Analogical Reasoning. ICDM (2022)
Junxiang Wang, Junji Jiang, Liang Zhao
An Invertible Graph Diffusion Neural Network for Source Localization. WWW (2022)
Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao
Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems. CoRR (2022)
Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao
Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems. KDD (2022)
Yuyang Gao, Siyi Gu, Junji Jiang, Sungsoo Ray Hong, Dazhou Yu, Liang Zhao
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning. CoRR (2022)
Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao
DeepGAR: Deep Graph Learning for Analogical Reasoning. CoRR (2022)
Junxiang Wang, Junji Jiang, Liang Zhao
An Invertible Graph Diffusion Neural Network for Source Localization. CoRR (2022)
Yuanqi Du, Shiyu Wang, Xiaojie Guo, Hengning Cao, Shujie Hu, Junji Jiang, Aishwarya Varala, Abhinav Angirekula, Liang Zhao
GraphGT: Machine Learning Datasets for Graph Generation and Transformation. NeurIPS Datasets and Benchmarks (2021)