zzwjames / DPGBALinks
An official implementation of "Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective" (KDD 2024)
☆12Updated last year
Alternatives and similar repositories for DPGBA
Users that are interested in DPGBA are comparing it to the libraries listed below
Sorting:
- An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)☆61Updated last year
- ☆58Updated 3 years ago
- A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)☆42Updated 4 years ago
- ☆33Updated 2 years ago
- Official implementation of "Graph Unlearning" (ACM CCS 2022)☆53Updated 3 months ago
- The python implementation of our "UA-FedRec: Untargeted Attack on Federated News Recommendation" in KDD 2023.☆19Updated 3 years ago
- [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"☆34Updated 2 years ago
- A PyTorch implementation of "Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?" (KDD 2025)☆28Updated last week
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆67Updated last year
- [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability☆38Updated last year
- ☆26Updated 3 years ago
- This is the implementation of OODGAT from KDD'22: Learning on Graphs with Out-of-Distribution Nodes.☆23Updated 3 years ago
- ☆28Updated 2 years ago
- [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang☆137Updated last year
- Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)☆20Updated 2 years ago
- code for paper TDGIA:Effective Injection Attacks on Graph Neural Networks (KDD 2021, research track)☆22Updated 4 years ago
- ☆34Updated this week
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆251Updated 7 months ago
- Paper List for Fair Graph Learning (FairGL).☆142Updated last year
- This repository aims to provide links to works about privacy attacks and privacy preservation on graph data with Graph Neural Networks (G…☆23Updated 2 years ago
- [ICLR24] Official Repo of BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models☆43Updated last year
- Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…☆29Updated 3 years ago
- Implementation of GraphPrompter (The Web Conference 2024 Short Paper)☆35Updated last year
- source code of KDD 2022 paper "Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN".☆28Updated last year
- [CIKM 2023] Towards Fair Graph Neural Networks via Graph Counterfactual.☆14Updated 8 months ago
- Official Pytorch implementation of IJCAI'21 paper "GraphMI: Extracting Private Graph Data from Graph Neural Networks"☆13Updated 4 years ago
- [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"☆24Updated 2 years ago
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆29Updated 3 years ago
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆17Updated 2 years ago
- The implementation of paper "AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint"☆27Updated this week