Network and Data Science Lab at Vanderbilt University
Our research lies in data mining and machine learning, especially deep learning on graphs, social network analysis, and data science for social good.
Nashville, TN, USA
Pinned Repositories
ADEPT
ADEPT: Autoencoder with Differentially Expressed Genes and Imputation for a Robust Spatial Transcriptomics Clustering
awesome-gnn-privacy
This repository aims to provide links to works about privacy attacks and privacy preservation on graph data with Graph Neural Networks (GNNs).
GNN-SSL-chapter
KG-LLM-MDQA
NeuroGraph
Benchmarks for Graph Machine Learning in Brain Connectomics
SGCN
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
signed-network-datasets
signed_bipartite_networks
Balance in Signed Bipartite Networks (CIKM 2019)
TDGNN
Topo_LP_GNN
Network and Data Science Lab at Vanderbilt University's Repositories
NDS-VU/awesome-gnn-privacy
This repository aims to provide links to works about privacy attacks and privacy preservation on graph data with Graph Neural Networks (GNNs).
NDS-VU/signed-network-datasets
NDS-VU/GNN-SSL-chapter
NDS-VU/ADEPT
ADEPT: Autoencoder with Differentially Expressed Genes and Imputation for a Robust Spatial Transcriptomics Clustering
NDS-VU/DPGNN
NDS-VU/FairExplanations-CFA
This repository is the implementation of our proposed Comprehensive Fairness Algorithm (CFA) and our two explanation fairness evaluation metrics proposed in "Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations".
NDS-VU/G2GNN
NDS-VU/KG-LLM-MDQA
NDS-VU/NeuroGraph
Benchmarks for Graph Machine Learning in Brain Connectomics
NDS-VU/SGCN
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
NDS-VU/signed_bipartite_networks
Balance in Signed Bipartite Networks (CIKM 2019)
NDS-VU/TDGNN
NDS-VU/Topo_LP_GNN
NDS-VU/Awesome-Fairness-and-Diversity-Papers-in-Recommender-Systems
This repository aims to provide comprehensive paper lists of work on fairness and diversity in recommender systems.
NDS-VU/CAGCN
NDS-VU/chemicalx
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
NDS-VU/Fair-Online-Dating-Recommendation
NDS-VU/FairVGNN
NDS-VU/MolKGNN
MolKGNN is a deep learning model for predicting biological activity or molecular properties. It features in 1. SE(3)-invariance 2. conformation-invariance 3. interpretability. MolKGNN uses a novel molecular convolution to leverage the similarity of molecular neighborhood and kernels. It shows superior results in realistic drug discovery datasets.
NDS-VU/nds-vu.github.io
Network and Data Science Lab
NDS-VU/STHAN-SR-AAAI21
Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach (AAAI 2021)