This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).
☆31Jul 25, 2023Updated 2 years ago
Alternatives and similar repositories for robustness_of_gnns_at_scale
Users that are interested in robustness_of_gnns_at_scale are comparing it to the libraries listed below
Sorting:
- Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…☆29Nov 17, 2022Updated 3 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)…☆18Mar 16, 2022Updated 3 years ago
- Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem☆20Oct 27, 2021Updated 4 years ago
- Graph Injection Adversarial Attack & Defense Dataset , extracted from KDD CUP 2020 ML2 Track☆22Aug 19, 2024Updated last year
- Codebase used to generate the results for NeurIPS23 "Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directi…☆12Dec 8, 2023Updated 2 years ago
- Code for Towards More Practical Adversarial Attacks on Graph Neural Networks (NeurIPS 2020)☆28Nov 13, 2021Updated 4 years ago
- Official Implementation of Half-Hop☆20Oct 10, 2023Updated 2 years ago
- code for paper TDGIA:Effective Injection Attacks on Graph Neural Networks (KDD 2021, research track)☆22Nov 5, 2021Updated 4 years ago
- [TMLR] Unsupervised Network Embedding Beyond Homophily (https://arxiv.org/abs/2203.10866) Resources☆11Mar 21, 2023Updated 2 years ago
- On the Robustness of Graph Neural Diffusion to Topology Perturbations☆16Nov 4, 2022Updated 3 years ago
- Defending graph neural networks against adversarial attacks (NeurIPS 2020)☆71Jul 6, 2023Updated 2 years ago
- [NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"☆11Nov 3, 2023Updated 2 years ago
- [ICML 2025] Generalization Principles for Inference over Text-Attributed Graphs with Large Language☆21Jul 15, 2025Updated 7 months ago
- GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks☆36Oct 1, 2023Updated 2 years ago
- [ICLR 2022 official code] Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?☆29Mar 15, 2022Updated 3 years ago
- G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)☆29Jan 11, 2022Updated 4 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆42Jul 25, 2021Updated 4 years ago
- [NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study☆16Dec 31, 2024Updated last year
- ☆31Feb 10, 2022Updated 4 years ago
- A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)☆43Sep 18, 2021Updated 4 years ago
- A curated list of adversarial attacks and defenses papers on graph-structured data.☆861Dec 15, 2023Updated 2 years ago
- Implementation of paper "Transferring Robustness for Graph Neural Network Against Poisoning Attacks".☆20Feb 26, 2020Updated 6 years ago
- Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".☆221May 31, 2022Updated 3 years ago
- [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.☆20Apr 10, 2025Updated 10 months ago
- Adversarial attacks and defenses on Graph Neural Networks.☆391Feb 22, 2024Updated 2 years ago
- [ICLR 2023] Link Prediction with Non-Contrastive Learning☆25Jan 13, 2023Updated 3 years ago
- Pytorch implementation of EvenNet.☆20Oct 25, 2022Updated 3 years ago
- Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)☆129Jul 16, 2022Updated 3 years ago
- ☆22Dec 4, 2023Updated 2 years ago
- Open Source Code for GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (KDD'24)☆30Jul 5, 2024Updated last year
- Adversarial Attacks on Node Embeddings via Graph Poisoning☆59Dec 23, 2019Updated 6 years ago
- source code of KDD 2022 paper "Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN".☆28May 29, 2024Updated last year
- Official repository for AAAI'23 paper: Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinf…☆30Nov 26, 2022Updated 3 years ago
- Official implementation of RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning☆35Feb 24, 2023Updated 3 years ago
- [ICML 2021] Information Obfuscation of Graph Neural Networks☆37Jul 15, 2021Updated 4 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆125Jul 22, 2022Updated 3 years ago
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆136Mar 18, 2022Updated 3 years ago
- [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"☆33Nov 10, 2023Updated 2 years ago