GemsLab / RGM
Fast embedding-based graph classification with connections to kernels
☆11Updated 4 years ago
Alternatives and similar repositories for RGM:
Users that are interested in RGM are comparing it to the libraries listed below
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 3 years ago
- Implementation of SBM-meet-GNN☆22Updated 5 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆31Updated 2 years ago
- Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"☆50Updated 4 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 4 years ago
- Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning☆40Updated 5 years ago
- 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☆59Updated 5 years ago
- ☆8Updated 4 years ago
- DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification☆27Updated 3 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆123Updated 5 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆21Updated 4 years ago
- This is the official implementation of "Arbitrary-Order Proximity Preserved Network Embedding"(KDD 2018).☆38Updated 5 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 6 years ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 3 years ago
- Code for Graphite iterative graph generation☆59Updated 5 years ago
- Graph Recurrent Networks with Attributed Random Walks☆28Updated last year
- Compute graph embeddings via Anonymous Walk Embeddings☆81Updated 6 years ago
- Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)☆26Updated last year
- code for the paper in NeurIPS 2019☆40Updated last year
- Reference implementation of the HEAT algorithm described in https://link.springer.com/chapter/10.1007/978-3-030-62362-3_4☆11Updated last year
- Graph Convolutional Neural Networks with Complex Rational Spectral Filters☆26Updated 6 years ago
- Adversarial Training Methods for Network Embedding, WWW2019.☆27Updated 5 years ago
- The implementation that infers the temporal latent spaces for a sequence of dynamic graph snapshots☆65Updated 7 years ago
- Adaptive Propagation Graph Convolutional Network☆23Updated 4 years ago
- ☆20Updated 3 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 5 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆74Updated 6 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆103Updated 4 years ago