MarioTheOne
PhD Student at the Gran Sasso Science Institute. Researching at the intersection of Graph Neural Networks and eXplainable AI. Member of @AIIM-Research Group
Gran Sasso Science Institute (@GSSI)L'Aquila, Italy
MarioTheOne's Stars
aiim-research/GRETEL
GRETEL is a framework for the development and evaluation of Counterfactual Explanation methods for Graph Classifiers
mertkosan/GCFExplainer
Global Counterfactual Explainer for Graph Neural Networks
gan-counterfactuals/countergan
MarioTheOne/GRETEL
Graph Counterfactual Explanation Evaluation Framework
ur-whitelab/exmol
Explainer for black box models that predict molecule properties
lukasjf/contrastive-gnn-explanation
DM2-ND/CFLP
Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction
carlo-abrate/CounterfactualGraphs
The following code is relative to the paper: Carlo Abrate and Francesco Bonchi. . Counterfactual Graphs for Explainable Classification of Brain Networks . In Proceedings of (KDD’21). ACM, New York, NY, USA, 11 pages.
a-lucic/cf-gnnexplainer
danilonumeroso/meg
Molecular Explanation Generator
Antonio-Cruciani/Link-stream-diameter
Code associated with the paper: M. Calamai, P. Crescenzi, A. Marino "On Computing the Diameter of (Weighted) Link Streams".