Alternatives and similar repositories for graph-signals

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

• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆117Updated 7 months ago
• armanihm / GDC
  Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch
  ☆62Updated 5 years ago
• calvin-zcx / ndcn
  Neural Dynamics on Complex Networks
  ☆54Updated 5 years ago
• DeepGraphLearning / ContinuousGNN
  ☆46Updated 4 years ago
• YuGuangWang / UFG
  ☆36Updated 3 years ago
• GraphPKU / JacobiConv
  How Powerful are Spectral Graph Neural Networks
  ☆74Updated 2 years ago
• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆55Updated 2 years ago
• FeiGSSS / Awesome-HigherOrderGraph
  Collection of papers relating data-driven higher-order graph/networks researches.
  ☆73Updated 2 years ago
• lcosmo / DGM_pytorch
  ☆55Updated 3 years ago
• EdisonLeeeee / GraphSSM
  [NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study
  ☆15Updated 10 months ago
• mdeff / pygsp_tutorial_graphsip
  Graph signal processing tutorial, presented at the GraphSiP summer school.
  ☆77Updated 6 years ago
• RiemannGraph / MotifRGC
  Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning
  ☆19Updated last year
• snap-stanford / GIB
  Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
  ☆137Updated 2 years ago
• hazdzz / awesome-gnn
  A list for GNNs and related works.
  ☆101Updated 4 months ago
• Hermina / GOT
  Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"
  ☆43Updated 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 4 years ago
• muhanzhang / NestedGNN
  ☆57Updated 4 years ago
• stadlmax / Graph-Posterior-Network
  Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)
  ☆44Updated 3 years ago
• ucbrise / graphtrans
  Representing Long-Range Context for Graph Neural Networks with Global Attention
  ☆130Updated 3 years ago
• tk-rusch / GraphCON
  GraphCON (ICML 2022)
  ☆59Updated 3 years ago
• GemsLab / CPGNN
  ☆29Updated 4 years ago
• ivam-he / ChebNetII
  PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"
  ☆40Updated 2 years ago
• ZhenyuYangMQ / Awesome-Graph-Level-Learning
  Awesome graph-level learning methods. Collections of commonly used datasets, papers as well as implementations are listed in this github …
  ☆59Updated last year
• GemsLab / H2GCN
  Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
  ☆106Updated 5 months ago
• snap-stanford / conformalized-gnn
  Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)
  ☆83Updated 2 years ago
• mgao97 / Higher-Order-Network
  ☆15Updated 11 months ago
• qslim / gnn-spectrum
  Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"
  ☆17Updated 3 years ago
• zhengdao-chen / GNN4CD
  Supervised community detection with line graph neural networks
  ☆90Updated 5 years ago
• Graph-COM / Neighborhood-Aware-Temporal-Network
  Yuhong Luo and Pan Li. Neighborhood-aware scalable temporal network representation learning. In Learning on Graphs, 2022.
  ☆27Updated 2 years ago
• qbxlvnf11 / graph-neural-networks-for-graph-classification
  Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification
  ☆111Updated 5 years ago