![:octocat: :octocat:](https://github.githubassets.com/images/icons/emoji/octocat.png)
Research interests: Network Embedding, Graph Neural Networks, Real-world applications related to networks/graphs, Machine Learning and Data Mining
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University of Birmingham; SUSTech
- Birmingham; Shenzhen
- https://scholar.google.com/citations?user=gTjReaQAAAAJ&hl=en
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zhangtia16/LICAP
zhangtia16/LICAP PublicLabel Informed Contrastive Pre-training for Node Importance Estimation on Knowledge Graphs
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Fossil-Image-Identification
Fossil-Image-Identification PublicFossil Image Identification using Deep Learning Ensembles of Data Augmented Multiviews accepted by "Methods in Ecology and Evolution"
Python 5
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NetEmb-Datasets
NetEmb-Datasets PublicA collection of real-world networks/graphs for Network Embedding
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