CODE SUMMARY
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1. NEDMP: Neural Enhanced Dynamic Message Passing.
a. Fei Gao, Yan Zhang, Jiang Zhang*. Neural Enhanced Dynamic Message Passing. AISTATS(2022). PMLR 151:10471-10482, 2022 |
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2. PM2.5 GNN.
a. Shuo Wang, Yanran Li, Jiang Zhang, Qingye Meng, Lingwei Meng, Fei Gao. PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting; SIGSPATIAL 2020 virtual conference(November 2020). Pages 163–166. |
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3. Network Completion from Time Series Data.
a. Menyuan Chen, Yan Zhang, Zhang Zhang, Lun Du, Shuo Wang, Jiang Zhang*. Inferring network structure with unobservable nodes from time series data. Chaos 32, 013126 (2022) |
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4. AIDD: Automated Discovery of Interactions and Dynamics.
a. Yan Zhang, Yu Guo, Zhang Zhang, Mengyuan Chen, Shuo Wang, and Jiang Zhang. Universal framework for reconstructing complex networks and node dynamics from discrete or continuous dynamics data. Phys. Rev. E. Accepted 15 June 2022 |
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5. GGN: Gumbel-softmax Graph Network.
a. Zhang Zhang, Yi Zhao, Jing Liu, Shuo Wang, Ruyi Tao, Ruyue Xin, Jiang Zhang. A General Deep Learning Framework for Network Reconstruction and Dynamics Learning; Applied Network Science, 4, 110 (2019). |
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1. C-GIN: Completing Networks by Learning Local Connection Patterns.
a. Zhang Zhang, Ruyi Tao, Yongzai Tao, Mingze Qi, Jiang Zhang. Completing Networks by Learning Local Connection Patterns. arXiv:2204.11852v2 [cs.LG]. |
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2. DeepLinker: Link Prediction by GAT and Their Byproducts.
a. Weiwei Gu, Fei Gao, Xiaodan Lou, Jiang Zhang*. Discovering latent node Information by graph attention network. Scientific Reports 11, 6967 (2021). |
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3. Network Embedding based on Flow Distance.
a. Weiwei Gu, Li Gong, Xiaodan Lou, Jiang Zhang. The Hidden Flow Structure and Metric Space of Network Embedding Algorithms Based on Random Walks; Scientific Reports, 7: 13114 (2017). |
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4. GSO & EvoGSO: Gumbel-softmax based Optimization.
a. Yaoxin Li, Jing Liu, Guozheng Lin, Yueyuan Hou, Muyun Mou, Jiang Zhang. Gumbel-softmax-based optimization: a simple general framework for optimization problems on graphs. Computational Social Networks volume 8, 5 (2021). |
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5. Complex Network Classification.
a. Ruyue Xin, Jiang Zhang, Yitong Shao. Complex Network Classification with Convolutional Neural Network; Tsinghua Science and Technology, Volume 25, Number 4, 2020. |
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1. scCapNet: Capsule Network for Identifying Cell-type Gene Expression.
a. Lifei Wang, Rui Nie, Zeyang Yu, Ruyue Xin, Caihong Zheng, Zhang Zhang, Jiang Zhang, Jun Cai. An interpretable deep-learning architecture of capsule networks for identifying cell-type gene expression programs from single-cell RNA-sequencing data; Nature Machine Intelligence, 2: 693703(2020). |
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2. Mesoscopic Scaling for Cities.
a. Lei Dong, Zhou Huang, Jiang Zhang, Yu Liu. Understanding the mesoscopic scaling patterns within cities; Scientific Reports 10: 21201 (2020). |
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3. A General Python Package for Flow Network Algorithms.
a. flow_network_embedding. |
| 1. Tools for reconstruction methods / dynamics models and data. |
| 2. BNUSSS Toolkit. |
| 3. Flownetwork Python project. |