AutoMachine0 / Auto-GNASLinks
Auto-GNAS is a general parallel graph neural architecture search framework for different tasks on graph datasets.
☆33Updated 3 years ago
Alternatives and similar repositories for Auto-GNAS
Users that are interested in Auto-GNAS are comparing it to the libraries listed below
Sorting:
- ☆67Updated 4 years ago
- ☆81Updated last year
- Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…☆145Updated 2 years ago
- [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…☆59Updated last year
- ☆125Updated 2 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆95Updated 3 years ago
- MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks☆22Updated 2 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆181Updated last year
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆145Updated 3 years ago
- ☆101Updated 4 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆82Updated 4 years ago
- (WWW 2021) Source code of PC-GNN☆107Updated 4 years ago
- code for "Self-supervised representation learning on dynamic graphs"☆27Updated 4 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆121Updated 3 years ago
- KDD'22☆64Updated 3 years ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆141Updated last year
- [ICML 2023] Linkless Link Prediction via Relational Distillation☆24Updated 2 years ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆64Updated 2 years ago
- Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.☆37Updated 2 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆270Updated last year
- PyTorch示例代码；复现GNN模型☆137Updated 4 years ago
- A Survey of Learning from Graphs with Heterophily☆157Updated 11 months ago
- Dynamic graph/network dataset for dynamic graph/network embedding/representation☆36Updated 5 years ago
- Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph☆458Updated 2 years ago
- Data repository for PyGOD☆48Updated 2 years ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆68Updated 2 years ago
- ☆46Updated 3 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆88Updated last year
- Python 3 supported version for DySAT☆12Updated 2 years ago
- ☆63Updated 3 years ago