Alternatives and similar repositories for graph_classification

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

• ixxi-dante / an2vec
  Bringing node2vec and word2vec together for cool stuff
  ☆22Updated 5 years ago
• taboola / node2vec-example
  ☆27Updated 6 years ago
• ShinKyuY / Graph_Neural_Net
  Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop
  ☆31Updated 5 years ago
• benedekrozemberczki / BANE
  A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).
  ☆87Updated 2 years ago
• KaiyuanZh / awesome-graph-representation-learning
  A curated list of awesome graph representation learning.
  ☆69Updated 4 years ago
• graph-star-team / graph_star
  Graph Star Net
  ☆110Updated last year
• benedekrozemberczki / TENE
  A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
  ☆74Updated 2 years ago
• benedekrozemberczki / ASNE
  A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
  ☆82Updated 2 years ago
• PanpanZheng / SAFE
  ☆34Updated 5 years ago
• nphdang / GE-FSG
  Graph Embedding via Frequent Subgraphs
  ☆45Updated 5 years ago
• benedekrozemberczki / role2vec
  A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
  ☆167Updated 2 years ago
• benedekrozemberczki / AttentionWalk
  A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
  ☆326Updated 2 years ago
• snowkylin / gnn
  TensorFlow implementation of several popular Graph Neural Network layers, wrapped with tf.keras.layers.Layer.
  ☆20Updated 5 years ago
• cszhangzhen / ANRL
  ANRL: Attributed Network Representation Learning via Deep Neural Networks(IJCAI-2018)
  ☆85Updated 2 years ago
• imayachita / Graph_Convolutional_Networks_Node_Classification
  ☆39Updated 2 years ago
• snash4 / GAT2VEC
  embedding attributed graphs
  ☆57Updated 3 years ago
• benedekrozemberczki / EdMot
  An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
  ☆133Updated 2 years ago
• benedekrozemberczki / resolutions-2019
  A list of data mining and machine learning papers that I implemented in 2019.
  ☆21Updated 5 years ago
• joanbruna / GNN_community
  Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li
  ☆74Updated 8 years ago
• palash1992 / YoutubeGraph-Dyn
  Dynamic Youtube graphs
  ☆27Updated 5 years ago
• MdAsifKhan / DNGR-Keras
  Learning graph representations using autoencoder
  ☆51Updated 8 years ago
• CyberZHG / keras-gcn
  Graph convolutional layers
  ☆62Updated 3 years ago
• xiaohan2012 / sdne-keras
  Keras implementation of Structural Deep Network Embedding, KDD 2016
  ☆92Updated 7 years ago
• benedekrozemberczki / EgoSplitting
  A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).
  ☆84Updated 2 years ago
• vwz / ComE
  Learning Community Embedding with Community Detection and Node Embedding on Graphs
  ☆34Updated 6 years ago
• daicoolb / Awesome-Graph-Embedding
  Awesome Graph Embedding Techinques
  ☆60Updated 6 years ago
• benedekrozemberczki / SINE
  A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).
  ☆72Updated 2 years ago
• shun1024 / weighted-deepwalk
  weighted random walk implementation for deepwalk (in python)
  ☆85Updated 4 years ago
• nd7141 / AWE
  Compute graph embeddings via Anonymous Walk Embeddings
  ☆83Updated 6 years ago
• benedekrozemberczki / BoostedFactorization
  An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
  ☆36Updated 2 years ago