Alternatives and similar repositories for RegGNN:

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

• qbxlvnf11 / graph-neural-networks-for-graph-classification
  Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification
  ☆108Updated 4 years ago
• egyptdj / stagin
  STAGIN: Spatio-Temporal Attention Graph Isomorphism Network
  ☆90Updated last year
• lcosmo / DGM_pytorch
  ☆53Updated 2 years ago
• ronghangzhu / CensNet
  ☆68Updated 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…
  ☆138Updated 2 months ago
• egyptdj / graph-neural-mapping
  PyTorch implementation of the paper Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis
  ☆26Updated 4 years ago
• GuillaumeSalhaGalvan / modularity_aware_gae
  Source code from the article "Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction" (Neural Networks, 20…
  ☆17Updated 2 years ago
• hazdzz / awesome-gnn
  A list for GNNs and related works.
  ☆91Updated 2 weeks ago
• Anwar-Said / NeuroGraph
  Benchmarks for Graph Machine Learning in Brain Connectomics
  ☆32Updated 2 months ago
• danielegrattarola / SRC
  Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).
  ☆62Updated 2 years ago
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆114Updated 3 weeks ago
• armanihm / GDC
  Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch
  ☆57Updated 4 years ago
• russellizadi / ssp
  ☆95Updated 2 years ago
• FilippoMB / Benchmark_dataset_for_graph_classification
  Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.
  ☆49Updated last month
• asFeng / kergnns
  ☆30Updated 3 years ago
• FeiGSSS / Awesome-HigherOrderGraph
  Collection of papers relating data-driven higher-order graph/networks researches.
  ☆69Updated 2 years ago
• hazdzz / chebnet
  The PyTorch version of ChebNet.
  ☆35Updated 4 months ago
• balcilar / Graph_Signal_Processing
  Signal Processing on non-euclidien domain signals
  ☆29Updated 6 years ago
• alge24 / eigenpooling
  An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"
  ☆49Updated 5 years ago
• sw-gong / GNN-Tutorial
  Graph Neural Network Tutorial
  ☆186Updated 4 years ago
• sunxiaobei / awesome-attention-based-gnns
  A collection of resources on attention-based graph neural networks
  ☆70Updated last year
• Graph-Machine-Learning-Group / sgp
  Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)
  ☆46Updated last year
• mgao97 / Higher-Order-Network
  ☆13Updated 4 months ago
• FilippoMB / Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling
  Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…
  ☆271Updated last month
• OneForward / UniGNN
  Source code for the paper UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks (IJCAI 2021).
  ☆66Updated 3 years ago
• mcontisc / Hypergraph-MT
  Probabilistic generative model for mixed-membership community detection in hypergraphs, that also allows to infer missing hyperedges of a…
  ☆26Updated last year
• FilippoMB / Variational-Graph-Auto-encoders-Tensorflow-2-Spektral-
  Implementation of the Variational Graph Auto-encoder in Spektral (Tensorflow-Keras)
  ☆14Updated last month
• VGraphRNN / VGRNN
  Variational Graph Recurrent Neural Networks - PyTorch
  ☆115Updated 4 years ago
• Yangyeeee / SGAT
  ☆42Updated 4 years ago
• Erfaan-Rostami / Hypergraph-and-Graph-Neural-Network-HGNN-GNN--
  Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecul…
  ☆54Updated last year