Explainability of Graph Machine Learning

Identifying Obfuscated Code through Graph-Based Semantic Analysis of Binary Code

Authors: Roxane Cohen, Robin David, Florian Yger, Fabrice Rossi | Published: 2025-04-02
Explainability of Graph Machine Learning
Model Performance Evaluation
Machine Learning Algorithm
2025.04.02 2025.05.27
Literature Database

From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Authors: Darren Edge, Ha Trinh, Newman Cheng, Joshua Bradley, Alex Chao, Apurva Mody, Steven Truitt, Dasha Metropolitansky, Robert Osazuwa Ness, Jonathan Larson | Published: 2024-04-24 | Updated: 2025-02-19
RAG
Explainability of Graph Machine Learning
Data Extraction and Analysis
2024.04.24 2025.05.27
Literature Database

Privacy and Transparency in Graph Machine Learning: A Unified Perspective

Authors: Megha Khosla | Published: 2022-07-22 | Updated: 2022-10-19
Explainability of Graph Machine Learning
Privacy Classification
Poisoning
2022.07.22 2025.05.28
Literature Database

Adversarial Attacks on Graph Classification via Bayesian Optimisation

Authors: Xingchen Wan, Henry Kenlay, Binxin Ru, Arno Blaas, Michael A. Osborne, Xiaowen Dong | Published: 2021-11-04
Explainability of Graph Machine Learning
Poisoning
Adversarial Attack Methods
2021.11.04 2025.05.28
Literature Database

DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses

Authors: Yaxin Li, Wei Jin, Han Xu, Jiliang Tang | Published: 2020-05-13
Algorithm
Explainability of Graph Machine Learning
Defense Effectiveness Analysis
2020.05.13 2025.05.28
Literature Database