Repository Index

Must-read papers on graph neural networks (GNN)

• paper-list
• gnn

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

• pytorch
• graph-neural-networks
• temporal-networks
• temporal-graphs

Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis

• network-analysis
• spatial-analysis
• geographical-information-system
• graph-neural-networks

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

• tensorflow
• gnn
• deep-learning
• machine-learning

A knowledge graph and a set of tools for drug repurposing

• drug-repurposing
• knowledge-graph
• graph-neural-networks
• knowledge-graph-embeddings

PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.

• gnn
• graph-neural-netowrks
• signed-networks
• directed-networks

Learning cell communication from spatial graphs of cells

• tensorflow
• gnn
• glm
• cvae

Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)

• ddi
• drug-synergy
• synergy-prediction
• deep-chemistry

Attempt at reproducing a SGNN's projection layer, but with word n-grams instead of skip-grams. Paper and more: http://aclweb.org/anthology/D18-1105

GNN-based gene-selection deep learning model for drug response prediction