Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.

Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)

[Bioinformatics 2021] This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization'.

Understanding and Extending Subgraph GNNs by Rethinking their Symmetries (NeurIPS 2022 Oral)

Official implementation of "NESS: Node Embeddings from Static Subgraphs"

Predicting a subgraph alongside the answer in a graph based VQA model

extract subgraph

FedGT: Federated Node Classification with Scalable Graph Transformer

The library for working with graphs

SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism (WWW 2021)

Sampling approach to obtain subgraph templates (or conjunctive queries) from RDF knowledge graphs and their cardinality.