GraphZoom-iclr / GraphZoomLinks
☆14Updated 2 years ago
Alternatives and similar repositories for GraphZoom
Users that are interested in GraphZoom are comparing it to the libraries listed below
Sorting:
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated last year
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 3 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆118Updated 5 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆190Updated 3 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆57Updated 5 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆53Updated 5 years ago
- Stochastic training of graph convolutional networks☆84Updated 3 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆125Updated 6 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 7 years ago
- ☆35Updated 6 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆156Updated 3 years ago
- ☆30Updated 5 years ago
- Supervised community detection with line graph neural networks☆90Updated 5 years ago
- Code for reproducing results in GraphMix paper☆72Updated 3 years ago
- SIGN: Scalable Inception Graph Network☆95Updated 5 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆273Updated 2 years ago
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30Updated 5 years ago
- Source code for PairNorm (ICLR 2020)☆79Updated 5 years ago
- The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020☆35Updated 4 years ago
- ☆62Updated 5 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆102Updated 5 years ago
- Variational Graph Convolutional Networks☆23Updated 5 years ago
- Distance Encoding for GNN Design☆188Updated 4 years ago
- ☆56Updated 6 years ago
- HDGI code☆63Updated 5 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- Implement of DiGCN, NeurIPS-2020☆48Updated 4 years ago
- Graph Filter Neural Network (ICPR'20)☆48Updated 5 years ago
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Updated 2 years ago
- ☆38Updated 4 years ago