Alternatives and similar repositories for GAM

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

• benedekrozemberczki / SEAL-CI
  A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
  ☆210Updated 2 years ago
• benedekrozemberczki / MixHop-and-N-GCN
  An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
  ☆405Updated 2 years ago
• vuptran / graph-representation-learning
  [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification
  ☆255Updated 6 years ago
• benedekrozemberczki / SGCN
  A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
  ☆275Updated 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 / APPNP
  A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
  ☆368Updated 2 years ago
• bknyaz / graph_attention_pool
  Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
  ☆285Updated 4 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…
  ☆133Updated 4 years ago
• fmonti / mgcnn
  Multi-Graph Convolutional Neural Networks
  ☆255Updated 7 years ago
• leowyy / GraphTSNE
  PyTorch Implementation of GraphTSNE, ICLR’19
  ☆136Updated 6 years ago
• bknyaz / graph_nn
  Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
  ☆334Updated 4 years ago
• danielzuegner / netgan
  Implementation of the paper "NetGAN: Generating Graphs via Random Walks".
  ☆195Updated 4 years ago
• JiaxuanYou / P-GNN
  Position-aware Graph Neural Networks
  ☆399Updated 4 years ago
• benedekrozemberczki / GraphWaveMachine
  A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
  ☆187Updated 2 years ago
• gasteigerjo / ppnp
  PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
  ☆322Updated 7 months ago
• dbusbridge / gcn_tutorial
  A tutorial on Graph Convolutional Neural Networks
  ☆318Updated 4 years ago
• benedekrozemberczki / GraRep
  A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).
  ☆65Updated 2 years ago
• bkj / pytorch-graphsage
  Representation learning on large graphs using stochastic graph convolutions.
  ☆138Updated 7 years ago
• muhanzhang / DGCNN
  Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".
  ☆177Updated 7 years ago
• benedekrozemberczki / M-NMF
  An implementation of "Community Preserving Network Embedding" (AAAI 2017)
  ☆121Updated 2 years ago
• plai-group / gae_in_pytorch
  Graph Auto-Encoder in PyTorch
  ☆81Updated 2 years ago
• benedekrozemberczki / GEMSEC
  The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
  ☆260Updated 2 years ago
• KaiyuanZh / awesome-graph-representation-learning
  A curated list of awesome graph representation learning.
  ☆69Updated 4 years ago
• nd7141 / AWE
  Compute graph embeddings via Anonymous Walk Embeddings
  ☆83Updated 7 years ago
• giannisnik / cnn-graph-classification
  A convolutional neural network for graph classification in PyTorch
  ☆91Updated 6 years ago
• snap-stanford / GraphRNN
  ☆424Updated 6 years ago
• snap-stanford / distance-encoding
  Distance Encoding for GNN Design
  ☆186Updated 4 years ago
• DeepGraphLearning / GMNN
  Graph Markov Neural Networks
  ☆411Updated 5 years ago
• khuangaf / PyTorch-Geometric-YooChoose
  This is a tutorial for PyTorch Geometric on the YooChoose dataset
  ☆316Updated 6 years ago
• benedekrozemberczki / Splitter
  A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
  ☆213Updated 2 years ago