lxf770824530 Goto Github PK

eagx

gaxg

GAXG is a novel GNN explanation framework that utilizes global and self-adaptive optimization at the model level.

he_hmc

a hybrid embedding approach to hierarchical multi-label text classification (HE-HMC) based on category structure and label semantics of categories.

knowgnn

KnowGNN is a knowledge-aware and structure-sensitive model-level GNN explanation framework, to incorporate data knowledge into the explanation results and achieve a structure-sensitive explanation process.

models

Models and examples built with TensorFlow

xgao

XGAO is a novel GNN explanation framework that utilizes global and self-adaptive optimization at the model level.