Gkunnan97 / FastGCN_pytorchLinks
an implementation of FastGCN with pytorch
☆51Updated 5 years ago
Alternatives and similar repositories for FastGCN_pytorch
Users that are interested in FastGCN_pytorch are comparing it to the libraries listed below
Sorting:
- AAAI'21: Data Augmentation for Graph Neural Networks☆195Updated last year
- ☆77Updated 4 years ago
- ☆138Updated 2 years ago
- ☆99Updated 4 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆132Updated last year
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆103Updated 2 years ago
- ☆272Updated 3 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆106Updated 5 months ago
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆159Updated 2 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆357Updated 5 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆81Updated 4 years ago
- Bag of Tricks for Graph Neural Networks.☆299Updated last year
- Graph Representation Learning via Graphical Mutual Information Maximization☆117Updated 5 years ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆67Updated last year
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆115Updated last year
- How Powerful are Spectral Graph Neural Networks☆74Updated 2 years ago
- The source code of HeCo☆168Updated 3 years ago
- ☆138Updated 2 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆336Updated last year
- [ICML 2022] Local Augmentation for Graph Neural Networks☆65Updated last year
- Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)☆22Updated 3 years ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆52Updated 2 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆232Updated 2 years ago
- Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"☆46Updated 3 years ago
- ☆302Updated 3 years ago
- Datasets-for-Heterogeneous-Graph☆135Updated 6 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆61Updated 4 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆89Updated last year
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆125Updated 3 years ago
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆63Updated 3 years ago