integrate EGSteal into PyGIP (PyG + TU datasets)#34
Open
gabmun19 wants to merge 1 commit intoLabRAI:mainfrom
Open
integrate EGSteal into PyGIP (PyG + TU datasets)#34gabmun19 wants to merge 1 commit intoLabRAI:mainfrom
gabmun19 wants to merge 1 commit intoLabRAI:mainfrom
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
📋 Summary
This PR integrates the EGSteal explanation-guided surrogate (model extraction) attack into PyGIP’s
BaseAttackframework for PyTorch Geometric (PyG) workflows.In addition, it introduces a lightweight TU graph dataset wrapper for graph classification datasets (e.g., NCI109, AIDS, Mutagenicity) and improves import robustness by making DGL-dependent components optional, enabling PyG-only usage on platforms where DGL is unavailable (e.g., macOS).
What Changed
New Attack:
EGStealAttackpygip/models/attack/egsteal/New Dataset Wrapper:
TUGraph(PyG-only)api_type="pyg"Import Robustness (DGL Optional)
pygip.datasetsandpygip.models.attack🧪 Related Issues
Platform Note (macOS & DGL)
During development, DGL could not be installed on macOS due to missing prebuilt wheels.
To address this without removing DGL support:
api_type="dgl"is explicitly requested✅ Checklist
main🧠 Additional Context
Example command to reproduce locally: