rodrigo-pena / graph-learningLinks
☆14Updated 8 years ago
Alternatives and similar repositories for graph-learning
Users that are interested in graph-learning are comparing it to the libraries listed below
Sorting:
- ☆22Updated 4 years ago
- Topological Graph Neural Networks (ICLR 2022)☆124Updated 3 years ago
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Updated 3 years ago
- WKPI: A kernel based on persistent homology☆12Updated 5 years ago
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated 2 years ago
- Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.☆50Updated 8 months ago
- Graph signal processing tutorial, presented at the GraphSiP summer school.☆77Updated 6 years ago
- ☆29Updated 4 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆86Updated last year
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 3 years ago
- Explanation method for Graph Neural Networks (GNNs)☆71Updated 6 months ago
- Gradient gating (ICLR 2023)☆55Updated 2 years ago
- https://arxiv.org/abs/2005.06935☆12Updated 2 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)☆16Updated 5 years ago
- GraphCON (ICML 2022)☆59Updated 3 years ago
- ☆55Updated 3 years ago
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 5 years ago
- Python-based persistent homology algorithms☆19Updated 2 years ago
- A list for GNNs and related works.☆101Updated 4 months ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Updated 4 years ago
- A Graph Structure Learning (GSL) Toolkit☆36Updated 3 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- ☆11Updated 2 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated 2 years ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆54Updated 2 years ago
- ☆27Updated 10 months ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆89Updated 2 years ago
- ☆15Updated 11 months ago
- Implementation of the paper Learning Laplacian Matrix in Smooth Graph Signal Representations☆12Updated 7 years ago