Alternatives and similar repositories for graph-learning:

Users that are interested in graph-learning are comparing it to the libraries listed below

• c-hofer / graph_filtration_learning
  ☆20Updated 4 years ago
• chrsmrrs / sparsewl
  Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"
  ☆22Updated 3 years ago
• BorgwardtLab / filtration_curves
  Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'
  ☆18Updated last year
• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆53Updated last year
• mgao97 / Higher-Order-Network
  ☆13Updated 4 months ago
• balcilar / Spectral-Designed-Graph-Convolutions
  Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper
  ☆50Updated 4 years ago
• cvignac / SMP
  ☆27Updated 3 years ago
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆34Updated 4 years ago
• lrnzgiusti / on-oversquashing
  Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
  ☆14Updated last year
• dms-net / scatteringGCN
  Scattering GCN: overcoming oversmoothness in graph convolutional networks
  ☆25Updated 2 years ago
• balcilar / gnn-spectral-expressive-power
  Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021
  ☆46Updated 3 years ago
• maxwass / pyGSL
  A Graph Structure Learning (GSL) Toolkit
  ☆36Updated 2 years ago
• barnesd8 / machine_learning_for_persistence
  ☆11Updated last year
• TheShadow29 / Learn-Graph-Laplacian
  Implementation of the paper Learning Laplacian Matrix in Smooth Graph Signal Representations
  ☆12Updated 6 years ago
• lcosmo / DGM_pytorch
  ☆53Updated 2 years ago
• twistedcubic / HNHN
  Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.
  ☆41Updated 4 years ago
• mdeff / pygsp_tutorial_graphsip
  Graph signal processing tutorial, presented at the GraphSiP summer school.
  ☆74Updated 6 years ago
• TheGravLab / A-Unifying-Framework-for-Spectrum-Preserving-Graph-Sparsification-and-Coarsening
  Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)
  ☆16Updated 4 years ago
• stefaniaebli / simplicial_neural_networks
  Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…
  ☆78Updated 4 years ago
• 000Justin000 / ssl_edge
  Code for "Graph-based Semi-Supervised & Active Learning for Edge Flows"
  ☆15Updated 5 years ago
• ellisalicante / GraphRewiring-Tutorial
  This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…
  ☆55Updated 2 years ago
• HipGraph / MarkovGNN
  PyTorch-Geometric Implementation of MarkovGNN method published in Graph Learning@WWW 2022 titled "MarkovGNN: Graph Neural Networks on Mar…
  ☆15Updated 3 years ago
• AlexDuvalinho / HoscPool
  Higher-order clustering and pooling for GNNs
  ☆8Updated 2 years ago
• tk-rusch / GraphCON
  GraphCON (ICML 2022)
  ☆58Updated 2 years ago
• topology474 / WKPI
  WKPI: A kernel based on persistent homology
  ☆12Updated 4 years ago
• RPaolino / fLode
  ☆18Updated last year
• baoyujing / NET3
  ☆18Updated 4 years ago
• pydsgz / MGMC
  https://arxiv.org/abs/2005.06935
  ☆12Updated 2 years ago
• nkeriven / random-graph-gnn
  ☆12Updated 3 years ago
• Chen-Cai-OSU / GNN-Over-Smoothing
  A Note On Over-Smoothing for Graph Neural Network
  ☆20Updated 4 years ago