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CAnceR Data Science Lab's Projects

agstn icon agstn

Official implementation of AGSTN model(ICDM2020)

awesome-deep-graph-anomaly-detection icon awesome-deep-graph-anomaly-detection

Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors

gcan icon gcan

Official implementation of GCAN model(ACL2020)

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

multimodaltweetsclassification icon multimodaltweetsclassification

Summer Internship (May-June 2020): Multimodal tweets classification using the CrisisMMD dataset by building multimodal deep learning architecture utilizing both image and text data.

techniques icon techniques

Techniques for deep learning with satellite & aerial imagery

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