Alternatives and similar repositories for modularity_aware_gae

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

• viz27 / SEComm
  ☆14Updated 4 years ago
• divelab / LGLP
  ☆21Updated 4 years ago
• hazdzz / awesome-gnn
  A list for GNNs and related works.
  ☆102Updated last month
• simondelarue / dynGNN
  Representation and learning framework for dynamic graphs using Graph Neural Networks.
  ☆12Updated 3 years ago
• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆55Updated 2 years ago
• lrnzgiusti / on-oversquashing
  Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
  ☆16Updated 2 years ago
• lcosmo / DGM_pytorch
  ☆55Updated 3 years ago
• AlexDuvalinho / GraphSVX
  Explanation method for Graph Neural Networks (GNNs)
  ☆71Updated 8 months ago
• yh-yao / InterpretableClustering
  ☆24Updated last year
• HipGraph / MarkovGNN
  PyTorch-Geometric Implementation of MarkovGNN method published in Graph Learning@WWW 2022 titled "MarkovGNN: Graph Neural Networks on Mar…
  ☆13Updated 3 years ago
• FilippoMB / The-expressive-power-of-pooling-in-GNNs
  Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023
  ☆36Updated 2 years ago
• twistedcubic / HNHN
  Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.
  ☆44Updated 5 years ago
• giuliacassara / awesome-hypergraph-learning
  A curated list of awesome Hypergraph Learning frameworks, libraries and software.
  ☆24Updated 2 years ago
• GraphFramEx / graphframex
  GraphFramEx: a systematic evaluation framework for explainability methods on GNNs
  ☆49Updated last year
• mgao97 / Higher-Order-Network
  ☆17Updated last year
• RPaolino / fLode
  ☆18Updated 2 years ago
• marblet / GCNmf
  PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"
  ☆49Updated last year
• ellisalicante / GraphRewiring-Tutorial
  This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…
  ☆54Updated 3 years ago
• basiralab / RegGNN
  Regression Graph Neural Network (regGNN) for cognitive score prediction.
  ☆77Updated 2 years ago
• qbxlvnf11 / graph-neural-networks-for-graph-classification
  Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification
  ☆112Updated 5 years ago
• rodrigo-pena / graph-learning
  ☆14Updated 8 years ago
• emalgorithm / directed-graph-neural-network
  Dir-GNN is a machine learning model that enables learning on directed graphs.
  ☆83Updated 2 years ago
• SherylHYX / pytorch_geometric_signed_directed
  PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…
  ☆144Updated 11 months ago
• mims-harvard / GraphXAI
  GraphXAI: Resource to support the development and evaluation of GNN explainers
  ☆203Updated last year
• davidbuterez / gnn-neural-readouts
  ☆27Updated 11 months ago
• PhilChodrow / HypergraphModularity
  Code for generative hypergraph clustering via modularity-like objective functions.
  ☆26Updated 3 years ago
• rampasek / HGNet
  Hierarchical Graph Net
  ☆37Updated 4 years ago
• danielegrattarola / SRC
  Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).
  ☆61Updated 3 years ago
• luis-mueller / probing-graph-transformers
  Code for our paper "Attending to Graph Transformers"
  ☆92Updated 2 years ago
• luoyuanlab / SHINE
  NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork
  ☆19Updated 2 years ago