Junji Jiang

According to our database, Junji Jiang authored at least 10 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Inf. Process. Manag., May, 2023

Deep Graph Representation Learning and Optimization for Influence Maximization.

Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Lukas Xue, James Song, Meikang Qiu, Liang Zhao

CoRR, 2023

KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification.

Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Deep Graph Representation Learning and Optimization for Influence Maximization.

Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Renhao Xue, James Song, Meikang Qiu, Liang Zhao

Proceedings of the International Conference on Machine Learning, 2023

Knowledge-Aware Cross-Semantic Alignment for Domain-Level Zero-Shot Recommendation.

Junji Jiang, Hongke Zhao, Ming He, Likang Wu, Kai Zhang, Jianping Fan

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning.

Yuyang Gao, Siyi Gu, Junji Jiang, Sungsoo Ray Hong, Dazhou Yu, Liang Zhao

CoRR, 2022

An Invertible Graph Diffusion Neural Network for Source Localization.

Junxiang Wang, Junji Jiang, Liang Zhao

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems.

Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

DeepGAR: Deep Graph Learning for Analogical Reasoning.

Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

GraphGT: Machine Learning Datasets for Graph Generation and Transformation.

Yuanqi Du, Shiyu Wang, Xiaojie Guo, Hengning Cao, Shujie Hu, Junji Jiang, Aishwarya Varala, Abhinav Angirekula, Liang Zhao

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021