paulmorio / geo2dr
Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.
☆45Updated last year
Alternatives and similar repositories for geo2dr:
Users that are interested in geo2dr are comparing it to the libraries listed below
- ☆30Updated last year
- code for the paper in NeurIPS 2019☆40Updated last year
- Hierarchical Inter-Message Passing for Learning on Molecular Graphs☆77Updated 3 years ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆55Updated last year
- SIGN: Scalable Inception Graph Network☆95Updated 4 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆117Updated 3 years ago
- Pytorch Implementation of Graph Convolutional Kernel Networks☆54Updated 2 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 2 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆86Updated last year
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆100Updated 3 years ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆127Updated 2 years ago
- ☆26Updated 3 years ago
- ☆153Updated 3 years ago
- The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…☆49Updated last year
- Wasserstein Weisfeiler-Lehman Graph Kernels☆81Updated 5 months ago
- Gradient gating (ICLR 2023)☆53Updated last year
- Code for our paper "Attending to Graph Transformers"☆85Updated last year
- Graph Positional and Structural Encoder☆45Updated 3 weeks ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆89Updated 5 years ago
- ☆92Updated last year
- Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)☆16Updated 4 years ago
- The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)☆58Updated 2 years ago
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30Updated 4 years ago
- ☆25Updated 3 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆132Updated 4 years ago
- ☆62Updated 4 years ago
- Official Pytorch Implementation of GraphiT☆107Updated 3 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆35Updated 4 years ago
- spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoe…☆65Updated 3 years ago
- ☆24Updated 10 months ago