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graph-adversarial-learning · GitHub Topics · GitHub

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graph-adversarial-learning

Here are 6 public repositories matching this topic...

A curated collection of adversarial attack and defense on graph data.

  • Updated Nov 7, 2023
  • Python

PyTorch implementation of our graph convolutional network (GCN) for human motion generation from music. Also with paired dance-music data for training!

  • Updated Jan 28, 2024
  • Python

[ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability

  • Updated Nov 27, 2023
  • Python

The relevant codes for "GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections".

  • Updated Mar 21, 2024
  • Python

[CIKM 2023] GUARD: Graph Universal Adversarial Defense

  • Updated Feb 27, 2024
  • Python

PyTorch Implementation for NeurIPS 2022 paper 'Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias'

  • Updated Mar 11, 2024
  • Python

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