nguyendohoangkhoiUF / MIM-Reasoner
☆18Updated 8 months ago
Related projects ⓘ
Alternatives and complementary repositories for MIM-Reasoner
- ☆10Updated 4 years ago
- Implementation of "ToupleGDD: A Fine-Designed Solution of Influence Maximization by Deep Reinforcement Learning" (https://arxiv.org/abs/2…☆20Updated 2 years ago
- ☆34Updated last year
- SIGMOD 2018: Online Processing Algorithms for Influence Maximization☆20Updated 6 years ago
- Scalable and computationally efficient deep reinforcement learning framework for influence maximization☆10Updated 2 years ago
- code for paper TDGIA:Effective Injection Attacks on Graph Neural Networks (KDD 2021, research track)☆18Updated 3 years ago
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆61Updated 6 months ago
- Official implementation of "Graph Unlearning" (ACM CCS 2022)☆40Updated last year
- This repository aims to provide links to works about privacy attacks and privacy preservation on graph data with Graph Neural Networks (G…☆22Updated last year
- Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation, WWW22☆17Updated 2 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…☆21Updated last year
- Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…☆28Updated 2 years ago
- This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).☆28Updated last year
- A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)☆34Updated 3 years ago
- ☆50Updated this week
- Approximate Graph Propagation☆11Updated 3 years ago
- How Powerful are Spectral Graph Neural Networks☆70Updated last year
- This repository is the official implementation of Online Influence Maximization under Linear Threshold Model.☆14Updated 4 years ago
- DISCO: Influence Maximization Meets Graph Embedding and Deep Learning (a.k.a. PIANO)☆11Updated 2 years ago
- The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"☆82Updated last year
- G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)☆26Updated 2 years ago
- ☆19Updated 2 years ago
- Official Pytorch implementation of IJCAI'21 paper "GraphMI: Extracting Private Graph Data from Graph Neural Networks"☆13Updated 3 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆119Updated 2 years ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆24Updated 2 weeks ago
- ☆19Updated 7 months ago
- A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).☆83Updated last month
- ☆98Updated last year
- Code for Towards More Practical Adversarial Attacks on Graph Neural Networks (NeurIPS 2020)☆26Updated 3 years ago