graph-classification topic
PDN
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
dgcnn
Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).
malnet-graph
A large-scale database for graph representation learning
QGNN
Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)
metric-few-shot-graph
Few-Shot Graph Classification via distance metric learning.
GE-FSG
Graph Embedding via Frequent Subgraphs
graph-pooling-papers
Papers on Graph Pooling (GNN-Pooling)
PAS
The released code for the paper: Pooling Architecture Search for Graph Classification, in CIKM 2021.
MVPool
Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)
Awesome-Graph-Level-Learning
Awesome graph-level learning methods. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in graph repr...