BUPT-GAMMA / RoHeLinks
☆20Updated 3 years ago
Alternatives and similar repositories for RoHe
Users that are interested in RoHe are comparing it to the libraries listed below
Sorting:
- code for paper TDGIA:Effective Injection Attacks on Graph Neural Networks (KDD 2021, research track)☆19Updated 3 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆171Updated last year
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆33Updated 2 years ago
- Data repository for PyGOD☆41Updated last year
- The relevant codes for "GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections".☆14Updated last year
- code for "Self-supervised representation learning on dynamic graphs"☆27Updated 3 years ago
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆74Updated 3 years ago
- The source code of SpCo☆34Updated 2 years ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆120Updated 11 months ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆65Updated last year
- ☆47Updated 2 years ago
- ☆113Updated last year
- source code of KDD 2022 paper "Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN".☆28Updated last year
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆82Updated 6 months ago
- ☆31Updated 3 years ago
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆88Updated 3 years ago
- ☆23Updated last year
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆81Updated 4 years ago
- The source code of HeCo☆165Updated 3 years ago
- A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).☆85Updated 7 months ago
- G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)☆30Updated 3 years ago
- ☆26Updated 2 years ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆116Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆52Updated 2 years ago
- ☆48Updated 2 years ago
- cogdl based GNN model for anomoly detection on Amazon & YelpChi datasets☆13Updated 2 years ago
- The pytorch implementation of DCI (SIGIR2021).☆34Updated 2 years ago
- 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
- The code of "Attribute and Structure preserving Graph Contrastive Learning" (AAAI 2023 oral)☆20Updated 2 months ago