mdeff / pygsp_tutorial_graphsip

Related projects: ⓘ

• FilippoMB / Benchmark_dataset_for_graph_classification
  This repository contains a dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.
  ☆46Updated last year
• rodrigo-pena / graph-learning
  ☆14Updated 7 years ago
• mdbartos / graph-signals
  🕸 Implementations of graph signal processing techniques from "The emerging field of signal processing on graphs" (2013)
  ☆31Updated 5 years ago
• BorgwardtLab / P-WL
  A Persistent Weisfeiler–Lehman Procedure for Graph Classification
  ☆60Updated 3 years ago
• ermongroup / graphite
  Code for Graphite iterative graph generation
  ☆56Updated 5 years ago
• JunwenBai / correlation-gnn
  Correlated Graph Neural Networks
  ☆24Updated 4 years ago
• KangchengHou / gntk
  Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)
  ☆100Updated 4 years ago
• alelab-upenn / graph-scattering-transforms
  Code for experimentation on graph scattering transforms
  ☆26Updated 4 years ago
• nimadehmamy / Understanding-GCN
  code for the paper in NeurIPS 2019
  ☆39Updated last year
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆30Updated 3 years ago
• maxwass / pyGSL
  A Graph Structure Learning (GSL) Toolkit
  ☆35Updated last year
• yincheng / GGP
  Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'
  ☆38Updated 5 years ago
• lucfra / LDS-GNN
  Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)
  ☆190Updated 6 months ago
• jwcalder / GraphLearning
  Python package for graph-based clustering and semi-supervised learning
  ☆83Updated 2 months ago
• BorgwardtLab / WWL
  Wasserstein Weisfeiler-Lehman Graph Kernels
  ☆77Updated 2 weeks ago
• Hermina / GOT
  Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"
  ☆38Updated 10 months ago
• tvayer / FGW
  Code for Optimal Transport for structured data with application on graphs
  ☆95Updated last year
• leowyy / GraphTSNE
  PyTorch Implementation of GraphTSNE, ICLR’19
  ☆133Updated 5 years ago
• lcosmo / DGM_pytorch
  ☆48Updated 2 years ago
• balcilar / Spectral-Designed-Graph-Convolutions
  Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper
  ☆48Updated 3 years ago
• tvayer / SGW
  Code for Sliced Gromov-Wasserstein
  ☆65Updated 4 years ago
• deezer / linear_graph_autoencoders
  Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…
  ☆132Updated 3 years ago
• paulmorio / geo2dr
  Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.
  ☆44Updated last year
• FilippoMB / The-expressive-power-of-pooling-in-GNNs
  Code and dataset to test empirically the expressive power of graph pooling operators.
  ☆31Updated 10 months ago
• aGIToz / Graph_Signal_Processing
  Signal processing on graphs using torch_geometric.
  ☆14Updated 2 years ago
• Eilene / GWNN
  A TensorFlow implementation of Graph Wavelet Neural Network
  ☆64Updated 5 years ago
• 000Justin000 / gnn-residual-correlation
  ☆20Updated 3 years ago
• Chen-Cai-OSU / LDP
  LDP for graph classification
  ☆22Updated 4 years ago
• yeze16159 / CurvGN
  Curvature Graph Network
  ☆18Updated 4 years ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆35Updated 4 years ago