Alternatives and similar repositories for MGMC:

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

• zhiqiangzhongddu / SELENE
  [TMLR] Unsupervised Network Embedding Beyond Homophily (https://arxiv.org/abs/2203.10866) Resources
  ☆10Updated 2 years ago
• topology474 / WKPI
  WKPI: A kernel based on persistent homology
  ☆12Updated 4 years ago
• harryjo97 / EHGNN
  Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
  ☆53Updated 2 years ago
• GSNN / GSNN
  ☆18Updated 4 years ago
• divelab / LGLP
  ☆20Updated 4 years ago
• ppope / explain_graphs
  Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …
  ☆34Updated last month
• twistedcubic / HNHN
  Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.
  ☆41Updated 4 years ago
• dms-net / scatteringGCN
  Scattering GCN: overcoming oversmoothness in graph convolutional networks
  ☆25Updated 2 years ago
• YuGuangWang / UFG
  ☆35Updated 2 years ago
• Chen-Cai-OSU / GNN-Over-Smoothing
  A Note On Over-Smoothing for Graph Neural Network
  ☆20Updated 4 years ago
• CheriseZhu / GSSNN
  The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".
  ☆20Updated 4 years ago
• meettyj / NOSMOG
  Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".
  ☆31Updated 2 years ago
• RingBDStack / SUGAR
  Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"
  ☆57Updated 4 years ago
• MysteryVaibhav / RWR-GAE
  Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"
  ☆38Updated last year
• tlancian / contrast-subgraph
  "Explainable classification of brain networks via contrast subgraphs" - T. Lanciano, F. Bonchi, A. Gionis
  ☆20Updated 3 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
• shekshaa / InceptionGCN
  Inception Graph Convolutional NN on medical and non-medical datasets
  ☆21Updated 4 years ago
• ha-lins / PGCL
  The code of “Prototypical Graph Contrastive Learning”. [TNNLS 2022]
  ☆24Updated 2 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
• cmavro / Graph-InfoClust-GIC
  [PAKDD 2021] Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning
  ☆34Updated 3 years ago
• ycq091044 / LEGCN
  CIKM2022: source code for "hypergraph learning with line expansion" paper
  ☆20Updated last year
• VITA-Group / L2-GCN
  [CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
  ☆31Updated 3 years ago
• lcosmo / DGM_pytorch
  ☆54Updated 2 years ago
• dongwei156 / n2n
  This project involves the code and supplementary materials of paper "Node Representation Learning in Graph via Node-to-Neighbourhood Mutu…
  ☆33Updated 2 years ago
• TRI-GNN / TRI-GNN
  ☆11Updated 3 years ago
• sunilkmaurya / FSGNN
  ☆32Updated 2 years ago
• guoji-fu / pGNNs
  [ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks
  ☆27Updated 2 years ago
• hedongxiao-tju / BM-GCN
  The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".
  ☆33Updated 3 years ago
• CheriseZhu / GIL
  The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)
  ☆45Updated 4 years ago
• marblet / GCNmf
  PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"
  ☆47Updated last year