Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications

2 May 2019

Papers citing "Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications"

10 / 10 papers shown

Title
Explaining Graph Neural Networks for Node Similarity on Graphs Daniel Daza C. Chu T. Tran Daria Stepanova Michael Cochez Paul T. Groth 36 1 0 10 Jul 2024
From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures with KGEPrisma Christoph Wehner Chrysa Iliopoulou Ute Schmid Tarek R. Besold 62 0 0 03 Jun 2024
Interpretability in Activation Space Analysis of Transformers: A Focused Survey Soniya Vijayakumar AI4CE 40 3 0 22 Jan 2023
Explaining Link Predictions in Knowledge Graph Embedding Models with Influential Examples Adrianna Janik Luca Costabello 22 2 0 05 Dec 2022
Towards Explaining Subjective Ground of Individuals on Social Media Younghun Lee Dan Goldwasser 31 1 0 18 Nov 2022
Poisoning Knowledge Graph Embeddings via Relation Inference Patterns Peru Bhardwaj John D. Kelleher Luca Costabello Declan O’Sullivan 175 20 0 11 Nov 2021
Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods Peru Bhardwaj John D. Kelleher Luca Costabello Declan O’Sullivan 18 20 0 04 Nov 2021
Explaining the Road Not Taken Hua Shen Ting-Hao 'Kenneth' Huang FAtt XAI 27 9 0 27 Mar 2021
Knowledge Graph Embedding for Link Prediction: A Comparative Analysis Andrea Rossi D. Firmani Antonio Matinata P. Merialdo Denilson Barbosa 22 341 0 03 Feb 2020
Adversarial Attack and Defense on Graph Data: A Survey Lichao Sun Yingtong Dou Carl Yang Ji Wang Yixin Liu Philip S. Yu Lifang He Yangqiu Song GNN AAML 23 275 0 26 Dec 2018