000Justin000 / ssl_edgeLinks
Code for "Graph-based Semi-Supervised & Active Learning for Edge Flows"
☆15Updated 6 years ago
Alternatives and similar repositories for ssl_edge
Users that are interested in ssl_edge are comparing it to the libraries listed below
Sorting:
- ☆28Updated 3 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 3 years ago
- Implementation of SBM-meet-GNN☆23Updated 6 years ago
- ☆35Updated 5 years ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Updated 4 years ago
- Code for Graphite iterative graph generation☆59Updated 5 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- ☆20Updated 4 years ago
- Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'☆38Updated 6 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆31Updated 2 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆104Updated 5 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆24Updated 5 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 4 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 6 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 4 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 3 years ago
- ☆62Updated 4 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆81Updated 9 months ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆22Updated 5 years ago
- Pytorch Implementation of Graph Convolutional Kernel Networks☆54Updated 2 years ago
- Variational Graph Convolutional Networks☆23Updated 4 years ago
- Source code for PairNorm (ICLR 2020)☆77Updated 5 years ago
- Code for "Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs" (NeurIPS 2020)☆18Updated 4 years ago
- Code for Graph Normalizing Flows.☆61Updated 5 years ago
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 4 years ago
- LDP for graph classification☆23Updated 5 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
- Distributed Feedback-Looped Networks☆10Updated 5 years ago