MUGEN: Generating Unlearnable Graph Examples for Multiple Learning Tasks
cs.LG
Submitted: 2026-09-01
Updated: 2026-09-03
Code: https://github.com/ZiyanLiu16/MUGEN
Terminology
Sources
- Full spectrum Unlearnable Examples via Spectral Equalization
- Inductive Representation Learning on Large Graphs
- GraphMAE: Self-Supervised Masked Graph Autoencoders
- Semi-Supervised Classification with Graph Convolutional Networks
- A Survey on Unlearnable Data
- GraphCloak: Safeguarding Task-specific Knowledge within Graph-structured Data from Unauthorized Exploitation
- Unlearnable Graph: Protecting Graphs from Unauthorized Exploitation
- TUDataset: A collection of benchmark datasets for learning with graphs
- Transferable Unlearnable Examples
- Graph Attention Networks
- How Powerful are Graph Neural Networks?
- Revisiting Semi-Supervised Learning with Graph Embeddings
- To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model
- Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices
- Deep Graph Contrastive Representation Learning
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