GREASE: Generate Factual and Counterfactual Explanations for GNN-based
Recommendations

GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations

4 August 2022

Fabrizio Silvestri

Jia Wang

Gabriele Tolomei

Papers citing "GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations"

10 / 10 papers shown

Title
Recent Advances in Malware Detection: Graph Learning and Explainability Hossein Shokouhinejad Roozbeh Razavi-Far Hesamodin Mohammadian Mahdi Rabbani Samuel Ansong Griffin Higgins Ali Ghorbani AAML 76 2 0 14 Feb 2025
Causal Learning for Trustworthy Recommender Systems: A Survey Jin Li Shoujin Wang Qi Zhang LongBing Cao Fang Chen Xiuzhen Zhang Dietmar Jannach Charu C. Aggarwal CML 39 1 0 13 Feb 2024
Leveraging Language Representation for Material Recommendation, Ranking, and Exploration Jiaxing Qu Yuxuan Richard Xie K. Ciesielski Claire E. Porter E. Toberer Elif Ertekin 29 3 0 01 May 2023
Agnostic Visual Recommendation Systems: Open Challenges and Future Directions L. Podo Bardh Prenkaj Paola Velardi 29 5 0 01 Feb 2023
Towards Reliable Item Sampling for Recommendation Evaluation Dong Li Ruoming Jin Zhenming Liu Bin Ren Jing Gao Zhi Liu 14 9 0 28 Nov 2022
Sparse Vicious Attacks on Graph Neural Networks Giovanni Trappolini Valentino Maiorca Silvio Severino Emanuele Rodolà Fabrizio Silvestri Gabriele Tolomei AAML 30 8 0 20 Sep 2022
NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks F. Siciliano Maria Sofia Bucarelli Gabriele Tolomei Fabrizio Silvestri GNN AI4CE 15 6 0 05 Oct 2021
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks Ana Lucic Maartje ter Hoeve Gabriele Tolomei Maarten de Rijke Fabrizio Silvestri 118 142 0 05 Feb 2021
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 167 593 0 31 Dec 2020
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud Weijing Shi Ragunathan R. Rajkumar 3DPC 168 738 0 02 Mar 2020