Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.
☆21Mar 23, 2021Updated 5 years ago
Alternatives and similar repositories for pytorch-gnn-meta-attack
Users that are interested in pytorch-gnn-meta-attack are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".☆156Dec 9, 2021Updated 4 years ago
- ☆12Mar 30, 2021Updated 5 years ago
- This is anonymous repository for submitting our work to a conference☆14Dec 17, 2024Updated last year
- The official source code for Self-Guided Robust Graph Structure Refinement (SG-GSR) at WWW 2024 Research Track.☆17Apr 23, 2024Updated last year
- Pytorch Implmentation of Meta Attack via Contrastive Surrogate Objective☆12May 21, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆66Jun 23, 2023Updated 2 years ago
- A DL-based framework for sequence and shape motif identification in the human genome☆11May 26, 2023Updated 2 years ago
- Implementation of paper "Transferring Robustness for Graph Neural Network Against Poisoning Attacks".☆20Feb 26, 2020Updated 6 years ago
- Code for ICLR'2021 paper: On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections☆12Jul 17, 2021Updated 4 years ago
- Code for Towards More Practical Adversarial Attacks on Graph Neural Networks (NeurIPS 2020)☆27Nov 13, 2021Updated 4 years ago
- Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation (ICCV 2021; Oral)☆12Oct 9, 2022Updated 3 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆59Mar 11, 2021Updated 5 years ago
- Pytorch implementation of "Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes"☆18Jul 8, 2022Updated 3 years ago
- The official source code for "Relational Self-Supervised Learning on Graphs"☆25Sep 6, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Jan 6, 2024Updated 2 years ago
- This is the official code for the paper "Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable".☆32Mar 11, 2025Updated last year
- The official source code for Similarity Preserving Adversarial Graph Contrastive Learning (SP-AGCL) at KDD 2023.☆23Jan 18, 2024Updated 2 years ago
- ☆11Mar 24, 2023Updated 3 years ago
- Papers about developing DL methods on disassortative graphs☆48Jul 1, 2022Updated 3 years ago
- Official PyTorch implementation Source code for Adaptive Self-Training Framework for Fine-grained Scene Graph generation (ST-SGG), accept…☆22Jan 30, 2024Updated 2 years ago
- The source code of the paper "Understanding Graph Neural Networks from Graph Signal Denoising Perspectives"☆23Jun 9, 2020Updated 5 years ago
- This is the code of paper: Robust Mid-Pass Filtering Graph Convolutional Networks.(paper accepted by WWW2023)☆13Feb 17, 2023Updated 3 years ago
- Adversarial attacks and defenses on Graph Neural Networks.☆393Feb 22, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Local signatures for 3D shapes with persistent homology☆14Jul 10, 2019Updated 6 years ago
- Hetsgg☆29Mar 6, 2023Updated 3 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆42Jul 25, 2021Updated 4 years ago
- Course project. A implementation of Graph Wavelet Neural Network (ICLR 2019)☆11Jan 6, 2020Updated 6 years ago
- ☆22Oct 14, 2022Updated 3 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆306May 12, 2023Updated 2 years ago
- UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs (KDD'25)☆27Jun 6, 2025Updated 10 months ago
- Adversarial Attacks on Node Embeddings via Graph Poisoning☆59Dec 23, 2019Updated 6 years ago
- Defending graph neural networks against adversarial attacks (NeurIPS 2020)☆72Jul 6, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".☆225May 31, 2022Updated 3 years ago
- Matlab and Python code to compute perturbed topological signatures (PTS), an efficient topological representation that lies on the Grassm…☆17Apr 4, 2019Updated 7 years ago
- ☆32Aug 28, 2021Updated 4 years ago
- ☆38Mar 6, 2023Updated 3 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30May 16, 2022Updated 3 years ago
- [NeurIPS 2022] Explaining Graph Neural Networks with Structure-Aware Cooperative Games (GStarX)☆14Oct 20, 2022Updated 3 years ago
- [CVPR25] CoLLM: A Large Language Model for Composed Image Retrieval☆28Mar 26, 2025Updated last year