Alternatives and similar repositories for FrequentSubgraphMining

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

• betterenvi / gSpan
  Python implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.
  ☆202Updated 4 years ago
• NaazS03 / cgSpan
  Python implementation of closed frequent subgraph mining algorithm cgSpan. Only undirected graphs are currently supported.
  ☆10Updated 3 years ago
• nphdang / gSpan
  gSpan, an efficient algorithm for mining frequent subgraphs
  ☆18Updated 5 years ago
• ehab-abdelhamid / GraMi
  GraMi is a novel framework for frequent subgraph mining in a single large graph, GraMi outperforms existing techniques by 2 orders of ma…
  ☆112Updated last year
• acbull / HGT-DGL
  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)
  ☆74Updated 2 years ago
• nphdang / GE-FSG
  Graph Embedding via Frequent Subgraphs
  ☆45Updated 5 years ago
• jdmoorman / uclasm
  Subgraph matching and isomorphisms in Python.
  ☆27Updated 2 years ago
• jajupmochi / graphkit-learn
  A python package for graph kernels, graph edit distances, and graph pre-image problem.
  ☆124Updated last year
• palash1992 / GEM-Benchmark
  Benchmark for Graph Embedding Methods
  ☆47Updated 4 years ago
• dbblumenthal / gedlib
  An easily extensible C++ library for (suboptimally) computing the graph edit distance between attributed graphs.
  ☆60Updated last year
• priba / aproximated_ged
  Bunch of aproximated graph edit distance algorithms.
  ☆35Updated 6 years ago
• hovinhthinh / RuLES
  Rule Learning with Embedding Support
  ☆25Updated 2 years ago
• LijunChang / Graph_Edit_Distance
  Exact graph edit distance (GED) computation and verification
  ☆60Updated 2 years ago
• LARS-research / AutoSF
  Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022
  ☆69Updated last year
• chrsmrrs / tudataset
  ☆94Updated 2 years ago
• FFrankyy / DrBC
  DrBC: A novel graph neural network approach to identify high Betweenness Centraliy (BC) nodes ( CIKM'19 )
  ☆32Updated 4 years ago
• yunshengb / GraphSim
  ☆53Updated 5 years ago
• GemsLab / REGAL
  Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings
  ☆95Updated 4 years ago
• bio-ontology-research-group / el-embeddings
  Embeddings for ontologies in the Description Logic EL++
  ☆25Updated 2 years ago
• timtadh / parsemis
  The ParSeMiS project (Parallel and Sequential Graph Mining Suite) searches for frequent, interesting substructures in graph databases. ht…
  ☆44Updated 5 years ago
• ZongyueQin / Graph-Hashing
  ☆16Updated 4 years ago
• DeepGraphLearning / NBFNet
  Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)
  ☆211Updated last year
• anonymous20221001 / SIEG_OGB
  ☆17Updated 2 years ago
• facebookresearch / NARS
  Scalable Graph Neural Networks for Heterogeneous Graphs
  ☆71Updated 4 years ago
• a-lucic / cf-gnnexplainer
  ☆58Updated 2 years ago
• Ashish7129 / Graph_Sampling
  Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.
  ☆161Updated 4 years ago
• thiviyanT / torch-rgcn
  A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
  ☆123Updated 3 years ago
• sunfanyunn / graph-classification
  A collection of graph classification methods
  ☆42Updated 4 years ago
• cszhangzhen / H2MN
  H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks (KDD-2021)
  ☆58Updated 3 years ago
• kkteru / grail
  Inductive relation prediction by subgraph reasoning, ICML'20
  ☆238Updated 9 months ago