Alternatives and similar repositories for scalefreechunglu

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

• dpanagop / data_analytics_examples
  ☆10Updated last year
• joshpxyne / deep-hyperedges
  New Algorithms for Learning on Hypergraphs
  ☆41Updated 3 years ago
• edwardelson / link-prediction
  This is a collection of link prediction tutorials that I wrote. Some notebooks are accompanied by medium blogposts that you can find here…
  ☆10Updated 4 years ago
• mberr / torch-ppr
  (Personalized) Page-Rank computation using PyTorch
  ☆93Updated 3 years ago
• tgm-team / tgm
  Efficient and Modular ML on Temporal Graphs
  ☆76Updated this week
• mhmgad / ExCut
  Implementation of ExCut: Explainable Embedding-based Clustering over Knowledge Graphs
  ☆11Updated 4 years ago
• moranbel / tdGraphEmbed
  ☆23Updated 2 years ago
• zhanghuijun-hello / community-detection-code
  ☆10Updated 7 years ago
• GTmac / FastRP
  Code for the CIKM 2019 Paper "Fast and Accurate Network Embeddings via Very Sparse Random Projection"
  ☆59Updated 6 years ago
• HIGISX / ReCovNet
  ☆12Updated last year
• arangoml / fastgraphml
  Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.
  ☆68Updated last year
• causalgraph / causalgraph
  A python package for modeling, persisting and visualizing causal graphs embedded in knowledge graphs.
  ☆59Updated 2 years ago
• nveldt / HypergraphFlowClustering
  ☆12Updated 4 years ago
• abhilash1910 / SpectralEmbeddings
  spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoe…
  ☆64Updated 4 years ago
• amazon-science / tgl
  ☆216Updated 2 years ago
• GemsLab / StrucEmbedding-GraphLibrary
  The SEMB library is an easy-to-use tool for getting and evaluating structural node embeddings in graphs.
  ☆18Updated 2 years ago
• chendiqian / IPM_MPNN
  Repo for paper: Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems, accepted at AISTATS 2024
  ☆17Updated 2 years ago
• shenyangHuang / TGB
  Temporal Graph Benchmark project repo
  ☆242Updated 2 months ago
• maxwass / pyGSL
  A Graph Structure Learning (GSL) Toolkit
  ☆38Updated 3 years ago
• TUM-DAML / ibmb
  Influence-Based Mini-Batching (IBMB), as proposed in "Influence-Based Mini-Batching for Graph Neural Networks" (LoG 2022)
  ☆19Updated 3 years ago
• emalgorithm / directed-graph-neural-network
  Dir-GNN is a machine learning model that enables learning on directed graphs.
  ☆83Updated 2 years ago
• xyjprc / hon
  Code for generating Higher-order Network (HON) from data with higher-order dependencies
  ☆70Updated 2 years ago
• Yquetzal / tnetwork
  ☆16Updated 2 years ago
• xgi-org / xgi-data
  Standardized higher-order datasets with corresponding datasheets
  ☆17Updated 4 months ago
• chrsmrrs / tudataset
  ☆97Updated 2 years ago
• kcngnn / Product-Demand-Forecasting
  Forecast demands of products at a manufacturing company using a real-life dataset from Kaggle
  ☆14Updated 5 years ago
• snap-stanford / roland
  ☆144Updated 2 years ago
• linafaik08 / graph_neural_networks
  ☆31Updated 3 years ago
• pyg-team / pyg-lib
  Low-Level Graph Neural Network Operators for PyG
  ☆220Updated this week
• dkaslovsky / GraphRole
  Automatic feature extraction and node role assignment for transfer learning on graphs (ReFeX & RolX)
  ☆88Updated last year