safe-graph / graph-adversarial-learning-literatureLinks
A curated list of adversarial attacks and defenses papers on graph-structured data.
☆861Updated last year
Alternatives and similar repositories for graph-adversarial-learning-literature
Users that are interested in graph-adversarial-learning-literature are comparing it to the libraries listed below
Sorting:
- A curated collection of adversarial attack and defense on graph data.☆573Updated last year
- Adversarial attacks and defenses on Graph Neural Networks.☆388Updated last year
- Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".☆220Updated 3 years ago
- A pytorch adversarial library for attack and defense methods on images and graphs☆1,064Updated 4 months ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆300Updated 2 years ago
- Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".☆153Updated 3 years ago
- A curated list for awesome self-supervised learning for graphs.☆387Updated 3 years ago
- gnn explainer☆1,011Updated last year
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆472Updated 2 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆484Updated 6 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆397Updated last year
- Adversarial training for Graph Neural Networks☆61Updated 4 years ago
- Deep and conventional community detection related papers, implementations, datasets, and tools.☆540Updated last month
- Papers about explainability of GNNs☆761Updated 5 months ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆582Updated 4 years ago
- code for paper TDGIA:Effective Injection Attacks on Graph Neural Networks (KDD 2021, research track)☆21Updated 3 years ago
- A curated list of graph data augmentation papers.☆312Updated last year
- Papers about developing deep Graph Neural Networks (GNNs)☆298Updated 2 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆499Updated 3 years ago
- Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph M…☆96Updated last year
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆654Updated 2 years ago
- Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)☆130Updated 3 years ago
- ☆354Updated 5 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,690Updated last year
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆954Updated last year
- Representation-Learning-on-Heterogeneous-Graph☆444Updated 5 years ago
- An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)☆325Updated 2 years ago
- My future research☆415Updated 2 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆610Updated last year
- Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph☆451Updated 2 years ago