LARS-research / PAS
The released code for the paper: Pooling Architecture Search for Graph Classification, in CIKM 2021.
☆25Updated 3 years ago
Alternatives and similar repositories for PAS:
Users that are interested in PAS are comparing it to the libraries listed below
- The released code for the paper: Search to aggregate neighborhood for graph neural network, in ICDE 2021.☆21Updated 2 years ago
- CIKM 2021: Pooling Architecture Search for Graph Classification☆20Updated 2 years ago
- Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)☆21Updated 3 years ago
- ☆57Updated 3 years ago
- ☆37Updated 3 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆71Updated 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…☆66Updated 2 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Updated 4 years ago
- an implementation of FastGCN with pytorch☆49Updated 4 years ago
- ☆23Updated 2 years ago
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆61Updated 2 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆101Updated 2 years ago
- Source code for CIKM-CSSA 2020 paper SNAG "Simplified Neural Architecture search for Graph Neural Networks".☆15Updated 4 years ago
- [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhang…☆65Updated last year
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆32Updated 3 years ago
- SCR: Training Graph Neural Networks with Consistency Regularization☆37Updated 2 years ago
- How Powerful are Spectral Graph Neural Networks☆71Updated last year
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆94Updated last year
- MagNet graph convolutional network☆37Updated last year
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆77Updated 3 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated 9 months ago
- ☆38Updated last year
- ☆132Updated last year
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆87Updated 3 years ago
- [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs☆111Updated 3 years ago
- [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.☆19Updated 2 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆121Updated last year
- Official implementation of our VQ-GNN paper (NeurIPS2021)☆38Updated 3 years ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆50Updated last year
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago