Alternatives and similar repositories for GraphZoom:

Users that are interested in GraphZoom are comparing it to the libraries listed below

• PurdueMINDS / RelationalPooling
  ☆35Updated 5 years ago
• yifan-h / CS-GNN
  Measuring and Improving the Use of Graph Information in Graph Neural Networks
  ☆82Updated 9 months ago
• chentingpc / gfn
  Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"
  ☆52Updated 4 years ago
• ebonilla / VGCN
  Variational Graph Convolutional Networks
  ☆22Updated 4 years ago
• matenure / OTCoarsening
  Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
  ☆36Updated 4 years ago
• cvignac / SMP
  ☆27Updated 3 years ago
• leichen2018 / Ring-GNN
  ☆12Updated 5 years ago
• delta2323 / gnn-asymptotics
  Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.
  ☆30Updated 4 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
• bluer555 / KernelGCN
  Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs
  ☆34Updated 5 years ago
• Nate1874 / StructPool
  The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields
  ☆58Updated 4 years ago
• yang-han / P-reg
  Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)
  ☆34Updated 3 years ago
• aravindsankar28 / Meta-GNN
  Implementation of Meta-GNN in TensorFlow
  ☆47Updated 3 years ago
• qslim / gnn-spectrum
  Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"
  ☆17Updated 2 years ago
• Davidham3 / deeper_insights_into_GCNs
  Deeper insights into graph convolutional networks for semi-supervised learning
  ☆19Updated 6 years ago
• Graph-COM / SUREL
  [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.
  ☆19Updated 2 weeks ago
• AaltoPML / Rethinking-pooling-in-GNNs
  ☆62Updated 4 years ago
• leichen2018 / GNN-Substructure-Counting
  The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020
  ☆34Updated 4 years ago
• RingBDStack / dynamic_network_embedding
  ☆12Updated 6 years ago
• flyingtango / DiGCL
  The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021
  ☆36Updated 3 years ago
• LingxiaoShawn / PairNorm
  Source code for PairNorm (ICLR 2020)
  ☆76Updated 5 years ago
• zekarias-tilahun / SelfGNN
  A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …
  ☆30Updated 3 years ago
• chennnM / GBP
  PyTorch implementation of "Scalable Graph Neural Networks via Bidirectional Propagation"
  ☆26Updated 4 years ago
• rootlu / MMDNE
  Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"
  ☆37Updated 3 years ago
• LARS-research / DiffMG
  [KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks
  ☆30Updated 3 years ago
• yangji9181 / GRACE
  Graph Clustering with Embedding Propagation
  ☆16Updated 6 years ago
• muhanzhang / NestedGNN
  ☆57Updated 3 years ago
• muhanzhang / HyperLinkPrediction
  Code for "M. Zhang, Z. Cui, S. Jiang, and Y. Chen, Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space, AAAI-2018".
  ☆21Updated 6 years ago
• chrsmrrs / sparsewl
  Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"
  ☆22Updated 3 years ago
• gear / gfnn
  Graph Filter Neural Network (ICPR'20)
  ☆48Updated 4 years ago