jajupmochi / py-graph
☆8Updated 5 years ago
Alternatives and similar repositories for py-graph:
Users that are interested in py-graph are comparing it to the libraries listed below
- An Implementation of 1-Weisfeiler-Lehman Algorithm using Deep Graph Library☆9Updated 4 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆21Updated 5 years ago
- Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching☆43Updated 5 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 4 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆52Updated 4 years ago
- ☆9Updated last year
- SIGN: Scalable Inception Graph Network☆96Updated 4 years ago
- ☆35Updated 5 years ago
- The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020☆34Updated 4 years ago
- ☆21Updated last year
- Source Code for ICML 2022 paper "Boosting Graph Structure Learning with Dummy Nodes"☆19Updated 2 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆81Updated 7 months ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- ☆27Updated 3 years ago
- Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')☆23Updated 3 years ago
- ☆57Updated 3 years ago
- ☆20Updated 2 years ago
- Graph Recurrent Networks with Attributed Random Walks☆28Updated last year
- ☆16Updated 5 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆124Updated 5 years ago
- ☆30Updated 2 years ago
- The official implementation of the Graph Barlow Twins method with the experimental pipeline☆30Updated last year
- ☆14Updated 2 years ago
- The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".☆20Updated 4 years ago
- Variational Graph Convolutional Networks☆22Updated 4 years ago
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Updated 2 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 3 years ago
- Fast embedding-based graph classification with connections to kernels☆12Updated 4 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆71Updated 4 years ago