Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper
☆50Feb 27, 2021Updated 5 years ago
Alternatives and similar repositories for Spectral-Designed-Graph-Convolutions
Users that are interested in Spectral-Designed-Graph-Convolutions are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Graph Metric Learning in PyTorch☆10Apr 7, 2021Updated 4 years ago
- C++ library for graph kernel and edit distance algorithm☆15Sep 4, 2018Updated 7 years ago
- Implementation of the iPiano algorithm for non-convex and non-smooth optimization as described in [1].☆12Nov 28, 2018Updated 7 years ago
- An easily extensible C++ library for (suboptimally) computing the graph edit distance between attributed graphs.☆65Jun 22, 2023Updated 2 years ago
- ☆25Jul 15, 2021Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30May 20, 2020Updated 5 years ago
- an introduction to deep learning☆14Sep 23, 2023Updated 2 years ago
- maskrcnn with Latent Graph Neural Network, experiments of "LatentGNN"(ICML2019)☆14Sep 2, 2019Updated 6 years ago
- Top1 Solution on OGB Challenge (Graph Property Prediction on HIV dataset)☆10Oct 20, 2021Updated 4 years ago
- Superpixel for CIFAR dataset☆11Sep 9, 2022Updated 3 years ago
- ☆26Jul 22, 2023Updated 2 years ago
- First and Complementary Neighborhood Combination of Adjacency Matrix for Graph Learning☆20Jul 22, 2023Updated 2 years ago
- Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)☆41Aug 25, 2023Updated 2 years ago
- ☆62Oct 24, 2020Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆11Apr 8, 2023Updated 2 years ago
- Code for OGB competition☆12Feb 24, 2024Updated 2 years ago
- ☆303Jul 17, 2022Updated 3 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆57Apr 27, 2020Updated 5 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Mar 2, 2021Updated 5 years ago
- ☆359Oct 12, 2022Updated 3 years ago
- Datasets file for hypergraphs☆19Nov 27, 2025Updated 4 months ago
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆42Jun 10, 2021Updated 4 years ago
- Code for Optimal Transport for structured data with application on graphs☆104Dec 17, 2022Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- New Algorithms for Learning on Hypergraphs☆40Feb 20, 2022Updated 4 years ago
- k-hop Graph Neural Networks☆19Jul 17, 2020Updated 5 years ago
- pytorch geometric version☆12Oct 12, 2019Updated 6 years ago
- ☆15Oct 29, 2018Updated 7 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Jul 25, 2024Updated last year
- Source Code for ICML 2022 paper "Boosting Graph Structure Learning with Dummy Nodes"☆20Apr 24, 2023Updated 2 years ago
- ☆13Mar 26, 2019Updated 7 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆54Sep 25, 2024Updated last year
- Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')☆23Dec 9, 2021Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Codes for MICCAI 2023 paper: 3D Dental Mesh Segmentation Using Semantics-Based Feature Learning with Graph-Transformer☆34Jul 9, 2024Updated last year
- Variational Graph Convolutional Networks☆23Oct 16, 2020Updated 5 years ago
- Python module for graphs and hypergraphs.☆38Mar 31, 2017Updated 8 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆474Dec 7, 2022Updated 3 years ago
- A fancy academic cv for researchers.☆14Jan 8, 2021Updated 5 years ago
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Apr 9, 2021Updated 4 years ago
- Code, datasets & supplementary for "Structural Patterns and Generative Models of Real-world Hypergraphs"☆32Oct 31, 2024Updated last year