Alternatives and similar repositories for SGCN

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

• benedekrozemberczki / APPNP
  A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
  ☆369Updated 2 years ago
• gasteigerjo / ppnp
  PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
  ☆322Updated 10 months ago
• benedekrozemberczki / SEAL-CI
  A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
  ☆211Updated 2 years ago
• benedekrozemberczki / GAM
  A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
  ☆273Updated 2 years ago
• benedekrozemberczki / AttentionWalk
  A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
  ☆326Updated 2 years ago
• benedekrozemberczki / MixHop-and-N-GCN
  An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
  ☆404Updated 2 years ago
• benedekrozemberczki / GraphWaveMachine
  A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
  ☆187Updated 2 years ago
• TUM-DAML / pprgo_pytorch
  PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)
  ☆127Updated 3 years ago
• vuptran / graph-representation-learning
  [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification
  ☆254Updated 6 years ago
• deezer / linear_graph_autoencoders
  Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…
  ☆134Updated 5 years ago
• snap-stanford / distance-encoding
  Distance Encoding for GNN Design
  ☆187Updated 4 years ago
• JiaxuanYou / P-GNN
  Position-aware Graph Neural Networks
  ☆399Updated 5 years ago
• benedekrozemberczki / GEMSEC
  The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
  ☆259Updated 2 years ago
• benedekrozemberczki / M-NMF
  An implementation of "Community Preserving Network Embedding" (AAAI 2017)
  ☆120Updated 2 years ago
• nd7141 / AWE
  Compute graph embeddings via Anonymous Walk Embeddings
  ☆83Updated 7 years ago
• GTmac / HARP
  Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"
  ☆116Updated 2 years ago
• palash1992 / DynamicGEM
  ☆354Updated 5 years ago
• TrustAGI-Lab / graph_datasets
  A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).
  ☆293Updated 3 years ago
• shchur / gnn-benchmark
  Framework for evaluating Graph Neural Network models on semi-supervised node classification task
  ☆484Updated 6 years ago
• danielzuegner / netgan
  Implementation of the paper "NetGAN: Generating Graphs via Random Walks".
  ☆196Updated 4 years ago
• benedekrozemberczki / Splitter
  A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
  ☆212Updated 2 years ago
• abojchevski / graph2gauss
  Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".
  ☆177Updated 2 years ago
• mengliu1998 / DeeperGNN
  Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
  ☆155Updated 3 years ago
• DeepGraphLearning / GMNN
  Graph Markov Neural Networks
  ☆411Updated 5 years ago
• benedekrozemberczki / MUSAE
  The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021)
  ☆177Updated 3 years ago
• bkj / pytorch-graphsage
  Representation learning on large graphs using stochastic graph convolutions.
  ☆138Updated 7 years ago
• TrustAGI-Lab / ARGA
  This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …
  ☆187Updated 3 years ago
• acbull / LADIES
  Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"
  ☆76Updated 2 years ago
• lucfra / LDS-GNN
  Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)
  ☆199Updated last year
• aravindsankar28 / DySAT
  Representation learning on dynamic graphs using self-attention networks
  ☆301Updated 2 years ago