LARS-research / PASLinks
The released code for the paper: Pooling Architecture Search for Graph Classification, in CIKM 2021.
☆26Updated 3 years ago
Alternatives and similar repositories for PAS
Users that are interested in PAS are comparing it to the libraries listed below
Sorting:
- The released code for the paper: Search to aggregate neighborhood for graph neural network, in ICDE 2021.☆22Updated 3 years ago
- [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)☆95Updated last year
- How Powerful are Spectral Graph Neural Networks☆74Updated 2 years ago
- SCR: Training Graph Neural Networks with Consistency Regularization☆36Updated 3 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆195Updated last year
- [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhang…☆68Updated 2 years ago
- Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)☆22Updated 3 years ago
- Parameterized Explainer for Graph Neural Network☆141Updated last year
- ☆37Updated 4 years ago
- ☆57Updated 4 years ago
- This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Trainin…☆64Updated 2 years ago
- Official implementation of our VQ-GNN paper (NeurIPS2021)☆38Updated 4 years ago
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆137Updated 3 years ago
- ☆139Updated 2 years ago
- ☆22Updated 3 years ago
- A pytorch implementation of graph transformer for node classification☆33Updated 2 years ago
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆116Updated last year
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆85Updated 6 months ago
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆63Updated 3 years ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆104Updated 2 years ago
- an implementation of FastGCN with pytorch☆51Updated 5 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆124Updated 3 years ago
- [ICLR'22][KDD'22][IJCAI'24][NeurIPS'25] Implementation of "Graph Condensation for Graph Neural Networks"☆141Updated 2 months ago
- A graph transformer framework☆78Updated 3 years ago
- Code for paper "Mixup for Node and Graph Classification", WWW 2021☆47Updated 4 years ago
- ☆77Updated 4 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 5 years ago
- MagNet graph convolutional network☆41Updated 2 years ago
- ☆132Updated 9 months ago