paulmorio / geo2drLinks
Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.
☆46Updated 2 years ago
Alternatives and similar repositories for geo2dr
Users that are interested in geo2dr are comparing it to the libraries listed below
Sorting:
- ☆31Updated 2 years ago
- ☆97Updated 2 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆90Updated 5 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆117Updated 4 years ago
- Official Pytorch Implementation of GraphiT☆109Updated 4 years ago
- Hierarchical Inter-Message Passing for Learning on Molecular Graphs☆80Updated 3 years ago
- ☆25Updated 4 years ago
- here you can find the material used for our Tutorials☆101Updated 3 years ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated 2 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆86Updated last year
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆190Updated 3 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆89Updated 2 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆43Updated 2 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆97Updated 3 years ago
- SIGN: Scalable Inception Graph Network☆95Updated 5 years ago
- The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…☆49Updated 2 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- ☆31Updated last year
- A research library for automating experiments on Deep Graph Networks☆222Updated 3 months ago
- ☆155Updated 4 years ago
- Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952☆35Updated 4 years ago
- ☆174Updated 5 years ago
- spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoe…☆64Updated 4 years ago
- ☆35Updated 6 years ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆126Updated 3 years ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆165Updated 3 years ago
- Graph Data Augmentation Library for PyTorch Geometric☆133Updated 3 years ago
- ☆12Updated 5 years ago
- Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.☆63Updated 2 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆355Updated 5 months ago