gear / gfnnLinks
Graph Filter Neural Network (ICPR'20)
☆48Updated 4 years ago
Alternatives and similar repositories for gfnn
Users that are interested in gfnn are comparing it to the libraries listed below
Sorting:
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆124Updated 5 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 10 months ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 5 years ago
- Source code for PairNorm (ICLR 2020)☆77Updated 5 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 7 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆52Updated 5 years ago
- ☆29Updated 4 years ago
- Stochastic training of graph convolutional networks☆84Updated 2 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆116Updated 5 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- ☆62Updated 4 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆195Updated last year
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- ☆37Updated 6 years ago
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆46Updated 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
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆53Updated 8 months ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- Variational Graph Convolutional Networks☆23Updated 4 years ago
- Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …☆34Updated 2 months ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆74Updated 7 years ago
- Graph Convolutional Neural Networks with Complex Rational Spectral Filters☆26Updated 6 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆100Updated 4 years ago
- Representation Learning on Graphs with Jumping Knowledge Networks☆39Updated 5 years ago
- Graph Cross Network☆48Updated 4 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆121Updated last year
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 4 years ago
- ☆32Updated 2 years ago
- Source code of GResNet☆16Updated 4 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated last year