Alternatives and similar repositories for biggraph-examples

Users that are interested in biggraph-examples are comparing it to the libraries listed below

• devinjdangelo / FastRec
  Generate and train embeddings with a graph neural network and deploy as an API in a few lines of code
  ☆9Updated 4 years ago
• daqcri / deeper-lite
  deep entity resolution lite version
  ☆11Updated 5 years ago
• teapot-co / tempest
  Network storage and analytics library
  ☆27Updated 8 years ago
• GTmac / FastRP
  Code for the CIKM 2019 Paper "Fast and Accurate Network Embeddings via Very Sparse Random Projection"
  ☆57Updated 5 years ago
• nikolakopoulos / Personalized-Diffusions
  Personalized Item Exploration Processes for Recommendation
  ☆15Updated 5 years ago
• ArjitJ / DIAL
  Implementation of the paper "Deep Indexed Active Learning for Matching Heterogeneous Entity Representations"
  ☆17Updated 3 years ago
• 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
• amazon-science / hyperbolic-embeddings
  Code for hyperboloid embeddings for knowledge graph entities
  ☆38Updated 3 weeks ago
• GemsLab / node2bits
  Compact time- and attribute-aware node representations
  ☆7Updated 5 years ago
• ferencberes / online-node2vec
  Node Embeddings in Dynamic Graphs
  ☆56Updated 3 years ago
• karlhigley / ranking-metrics-torch
  Simple ranking metrics for PyTorch on CPU or GPU
  ☆15Updated 4 years ago
• giuseppefutia / notebooks
  Jupyter notebooks for testing ML models
  ☆21Updated 4 years ago
• SANSA-Stack / Spark-Tensors
  Temporary repository for implementing tensor factorization algorithms on Apache Spark
  ☆13Updated 7 years ago
• sisinflab / KGFlex
  Official implementation of the paper "Sparse Feature Factorization for Recommender Systems with Knowledge Graphs"
  ☆20Updated 2 years ago
• alshargi / Concept2vec
  Concept2vec Metrics for Evaluating Quality of Embeddings for Ontological Concepts
  ☆14Updated 6 years ago
• cemoody / flexi_hash_embedding
  PyTorch Flexible Hash Embeddings
  ☆28Updated 5 years ago
• pbloem / kgbench-data
  A set of benchmark repositories for node classification on knowledge graphs. To use, see https://github.com/pbloem/kgbench-loader
  ☆27Updated 2 years ago
• dongwookim-ml / kg-data
  knowledge-graph datasets
  ☆26Updated 8 years ago
• aarivan / Graph-Embeddings-for-Recommender-Systems
  In this project, we will revisit the problem central to recommender systems: predicting a user’s preference for some item they have not y…
  ☆25Updated 8 years ago
• zach-blumenfeld / demo-lp-for-entity-resolution
  Demo of a supervised machine learning approach for Entity Resolution in graph using Neo4j GDS Link Prediction Pipelines
  ☆22Updated 3 years ago
• chrisPiemonte / url2vec
  Graph clustering and Node embeddings with word2vec
  ☆14Updated 6 years ago
• salesforce / RGRecSys
  ☆18Updated last week
• titu1994 / tf-sha-rnn
  Tensorflow port implementation of Single Headed Attention RNN
  ☆16Updated 5 years ago
• MathiasKraus / MarketBasket
  Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching
  ☆19Updated 5 years ago
• IlyaTrofimov / bb2vec
  This is the source code of the paper "Inferring Complementary Products from Baskets and Browsing Sessions"
  ☆11Updated 6 years ago
• skesiraju / BaySMM
  Model for learning document embeddings along with their uncertainties
  ☆35Updated last year
• mberr / torch-ppr
  (Personalized) Page-Rank computation using PyTorch
  ☆92Updated 2 years ago
• graph-embeddings / pbg-helper
  This is a helper for PyTorch-BigGraph
  ☆22Updated 5 years ago
• zhaoxy92 / GLaRA
  GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition
  ☆31Updated 3 years ago
• kousun12 / tf_hyperbolic
  Hyperbolic (Poincare, Lorentz) Embeddings for TensorFlow
  ☆55Updated 6 years ago