cyh1112 / GraphNormalization
Learning Graph Normalization for Graph Neural Networks
☆118Updated 4 years ago
Alternatives and similar repositories for GraphNormalization:
Users that are interested in GraphNormalization are comparing it to the libraries listed below
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 2 years ago
- A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"☆63Updated last year
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆100Updated 4 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆341Updated 4 years ago
- This directory contains code necessary to run the GraphNAS algorithm.☆177Updated last year
- Pytorch Implementation of Graph Convolutional Neural Networks☆111Updated 7 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆471Updated 2 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆329Updated 4 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆53Updated 4 months ago
- Memory-Based Graph Networks☆101Updated 2 years ago
- Pytorch Implementation for Graph Convolutional Neural Networks☆326Updated 6 years ago
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆283Updated 4 years ago
- Position-aware Graph Neural Networks☆398Updated 4 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆110Updated 3 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆368Updated last year
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆120Updated 9 months ago
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated last year
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆345Updated 2 years ago
- ☆136Updated 4 years ago
- Source code for PairNorm (ICLR 2020)☆76Updated 4 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆268Updated last year
- Pytorch implementation of the Attention-based Graph Neural Network(AGNN)☆146Updated 7 years ago
- informal exposition of Weisfeiler-Leman similarity☆27Updated 3 years ago
- Pytorch Implementation of Rethinking Graph Neural Architecture Search from Message-passing (CVPR2021)☆52Updated 2 years ago
- Graph Neural Networks for Quantum Chemistry☆126Updated 6 years ago
- Distance Encoding for GNN Design☆187Updated 3 years ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆163Updated 2 years ago
- A Direct Neighborhood Combination of the Adjacency Matrix for Graph Learning☆7Updated 5 years ago
- A tensorflow implementation of GCN-LPA☆99Updated 4 years ago
- This is a tutorial for PyTorch Geometric on the YooChoose dataset☆317Updated 5 years ago