DSE-MSU
Data Science and Engineering Lab Director: Dr. Jiliang Tang
Michigan State UniversityEast Lansing, MI, USA
Pinned Repositories
DeepRobust
A pytorch adversarial library for attack and defense methods on images and graphs
eigenpooling
An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"
EpidemicGCN
Epidemic Graph Convolutional Network (WSDM 2020)
graph-attack-papers
Papers about adversarial attacks on graph data.
GraphRec-WWW19
Pytorch implementation of GraphRec. Graph Neural Networks for Social Recommendation https://arxiv.org/abs/1902.07243
MFCVP
Multi-Factor Congressional Vote Prediction
MUDE
Learning Multi-level Dependencies for Robust Word Recognition
R-transformer
Pytorch implementation of R-Transformer. Some parts of the code are adapted from the implementation of TCN and Transformer.
Recommender-System-Datasets
A list of compatible datasets, noting other major repositories containing popular real-world datasets, along with sample code for a range of recommendation tasks.
signed-bipartite-networks
Balance in Signed Bipartite Networks (CIKM 2019)
DSE-MSU's Repositories
DSE-MSU/DeepRobust
A pytorch adversarial library for attack and defense methods on images and graphs
DSE-MSU/R-transformer
Pytorch implementation of R-Transformer. Some parts of the code are adapted from the implementation of TCN and Transformer.
DSE-MSU/Recommender-System-Datasets
A list of compatible datasets, noting other major repositories containing popular real-world datasets, along with sample code for a range of recommendation tasks.
DSE-MSU/signed-bipartite-networks
Balance in Signed Bipartite Networks (CIKM 2019)
DSE-MSU/graph-attack-papers
Papers about adversarial attacks on graph data.
DSE-MSU/GraphRec-WWW19
Pytorch implementation of GraphRec. Graph Neural Networks for Social Recommendation https://arxiv.org/abs/1902.07243
DSE-MSU/MUDE
Learning Multi-level Dependencies for Robust Word Recognition
DSE-MSU/EpidemicGCN
Epidemic Graph Convolutional Network (WSDM 2020)
DSE-MSU/eigenpooling
An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"
DSE-MSU/MFCVP
Multi-Factor Congressional Vote Prediction