anonymous1025 / Deep-Graph-Translation-
☆17Updated 4 years ago
Related projects: ⓘ
- Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning☆40Updated 4 years ago
- ☆39Updated 7 years ago
- Code for Graphite iterative graph generation☆56Updated 5 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 4 years ago
- ☆35Updated 5 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 3 years ago
- Variational Graph Convolutional Networks☆20Updated 3 years ago
- Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.☆53Updated 5 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆70Updated 5 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆30Updated last year
- ☆25Updated 2 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆21Updated 4 years ago
- ☆37Updated 5 years ago
- ☆30Updated last year
- ☆22Updated this week
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆57Updated 4 years ago
- Code for reproducing results in GraphMix paper☆71Updated last year
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆51Updated 4 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆58Updated 5 years ago
- Graph Capsule Convolutional Neural Networks☆36Updated 4 years ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆48Updated 3 years ago
- ☆12Updated 4 years ago
- ☆9Updated 11 months ago
- code for the paper in NeurIPS 2019☆39Updated last year
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆122Updated 5 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆43Updated last year
- The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".☆20Updated 4 years ago
- Graph Filter Neural Network (ICPR'20)☆45Updated 4 years ago
- Pytorch Implementation of Graph Convolutional Kernel Networks☆53Updated last year
- Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …☆34Updated last month