Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS 2022)
☆29Nov 17, 2022Updated 3 years ago
Alternatives and similar repositories for are-gnn-defenses-robust
Users that are interested in are-gnn-defenses-robust are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).☆31Jul 25, 2023Updated 2 years ago
- [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability☆38Nov 27, 2023Updated 2 years ago
- This repository contains the official implementation of the paper "Reliable Graph Neural Networks via Robust Aggregation" (NeurIPS, 2020)…☆17Mar 16, 2022Updated 4 years ago
- Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem☆20Oct 27, 2021Updated 4 years ago
- Codebase used to generate the results for NeurIPS23 "Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directi…☆13Dec 8, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for Towards More Practical Adversarial Attacks on Graph Neural Networks (NeurIPS 2020)☆27Nov 13, 2021Updated 4 years ago
- Official repository for AAAI'23 paper: Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinf…☆31Nov 26, 2022Updated 3 years ago
- How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)☆13Jul 24, 2022Updated 3 years ago
- Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph M…☆100Nov 6, 2023Updated 2 years ago
- Adversarial attacks and defenses on Graph Neural Networks.☆394Feb 22, 2024Updated 2 years ago
- [ICML 2025] Generalization Principles for Inference over Text-Attributed Graphs with Large Language☆22Jul 15, 2025Updated 10 months ago
- Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation, WWW22☆17Jun 30, 2022Updated 3 years ago
- [NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study☆16Dec 31, 2024Updated last year
- Adversarial training for Graph Neural Networks☆62Feb 26, 2021Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).☆89Oct 15, 2024Updated last year
- code for paper TDGIA:Effective Injection Attacks on Graph Neural Networks (KDD 2021, research track)☆22Nov 5, 2021Updated 4 years ago
- Official Implementation of Half-Hop☆20Oct 10, 2023Updated 2 years ago
- A curated list of adversarial attacks and defenses papers on graph-structured data.☆864Dec 15, 2023Updated 2 years ago
- ☆57Oct 25, 2023Updated 2 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Jun 9, 2021Updated 5 years ago
- Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering☆13Aug 22, 2023Updated 2 years ago
- code and data for Improving Temporal Link Prediction via Temporal Walk Matrix Projection, NeurIPS 2024☆15Oct 5, 2024Updated last year
- Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning☆11Jun 16, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆22Dec 4, 2023Updated 2 years ago
- Pytorch implementation of EvenNet.☆21Oct 25, 2022Updated 3 years ago
- ☆98Jul 5, 2024Updated last year
- [ICLR 2023] Link Prediction with Non-Contrastive Learning☆25Jan 13, 2023Updated 3 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆42Jul 25, 2021Updated 4 years ago
- The official implementation of "A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs" (NeurIPS 2023)☆13Sep 1, 2025Updated 9 months ago
- learn to allocate wireless resources with GNN in over-the-air FL system☆10Jun 4, 2023Updated 3 years ago
- Source code for the Nature Machine Intelligence paper: When and how convolutional neural networks generalize to out-of-distribution categ…☆24Feb 26, 2022Updated 4 years ago
- Official implementation of GOAT model (ICML2023)☆38Jul 3, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- The code of ICLR 2024 paper: Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective☆14May 30, 2024Updated 2 years ago
- ☆32Aug 24, 2023Updated 2 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 2 years ago
- Ask to Know More: Counterfactual Explanations for Fake Claims source code☆11Nov 22, 2022Updated 3 years ago
- CoPur: Certifiably Robust Collaborative Inference via Feature Purification (NeurIPS 2022)☆11Dec 7, 2022Updated 3 years ago
- ☆14Aug 27, 2023Updated 2 years ago