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adept

ADEPT: Autoencoder with Differentially Expressed Genes and Imputation for a Robust Spatial Transcriptomics Clustering

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.

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).

cagcn

chemicalx

A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

dpgnn

fair-online-dating-recommendation

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".

fairvgnn

g2gnn

gnn-ssl-chapter

kg-llm-mdqa

large-graph-generative-model

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.github.io

Network and Data Science Lab

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)

sthan-sr-aaai21

Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach (AAAI 2021)

tdgnn

topo_lp_gnn