Alternatives and similar repositories for representation_learning

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

• lasigeBioTM / BiOnt
  BiOnt: Deep Learning using Multiple Biomedical Ontologies for Relation Extraction
  ☆26Updated last year
• migalkin / NodePiece
  Compositional and Parameter-Efficient Representations for Large Knowledge Graphs (ICLR'22)
  ☆142Updated 3 years ago
• yumeng5 / JoSH
  [KDD 2020] Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding
  ☆57Updated 4 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
• mhmgad / ExCut
  Implementation of ExCut: Explainable Embedding-based Clustering over Knowledge Graphs
  ☆10Updated 3 years ago
• dmis-lab / BioSyn
  ACL'2020: Biomedical Entity Representations with Synonym Marginalization
  ☆168Updated last year
• usc-isi-i2 / kgtk-notebooks
  Tutorial and hands-on notebook on using the Knowledge Graph Toolkit (KGTK)
  ☆80Updated 2 years ago
• pykeen / ilpc2022
  🏅 KG Inductive Link Prediction Challenge (ILPC) 2022
  ☆85Updated 3 years ago
• Ishani-Mondal / SciKG
  ☆22Updated 4 years ago
• uma-pi1 / OPIEC
  Reading the data from OPIEC - an Open Information Extraction corpus
  ☆38Updated 6 years ago
• danilo-dessi / skg
  ☆27Updated 3 years ago
• vaibhavad / python-wrapper-OpenIE5
  Python wrapper for OpenIE5
  ☆39Updated 5 years ago
• amaiya / causalnlp
  CausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.
  ☆147Updated 4 months ago
• IBM / gnn-taxo-construction
  A tool for taxonomy construction using Graph Neural Networks (GNN).
  ☆27Updated last month
• asahi417 / kex
  Kex is a python library for unsupervised keyword extraction from a document, providing an easy interface and benchmarks on 15 public data…
  ☆54Updated 3 years ago
• samuelbroscheit / open_knowledge_graph_embeddings
  Code to train open knowledge graph embeddings and to create a benchmark for open link prediction.
  ☆25Updated last year
• armand33 / wikidatasets
  Break Wikidata dumps into smaller knowledge graphs
  ☆42Updated 4 years ago
• BaderLab / Biomedical-Corpora
  A collection of annotated biomedical corpora, which can be used for training supervised machine learning methods for various tasks in bio…
  ☆36Updated 6 years ago
• SkBlaz / rakun
  Rank-based Unsupervised Keyword Extraction via Metavertex Aggregation
  ☆99Updated 7 months ago
• Andy-jqa / AttnMeSH
  Code for AttentionMeSH
  ☆17Updated 6 years ago
• danlou / MedLinker
  ECIR 2020 - MedLinker: Medical Entity Linking with Neural Representations and Dictionary Matching
  ☆29Updated 2 years ago
• krishnanlab / PecanPy
  A fast, parallelized, memory efficient, and cache-optimized Python implementation of node2vec
  ☆164Updated last week
• smeznar / SNoRe
  SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations
  ☆11Updated last year
• graph4ai / graph4nlp_demo
  This repo is to present various code demos on how to use our Graph4NLP library.
  ☆154Updated 3 years ago
• torchkge-team / torchkge
  TorchKGE: Knowledge Graph embedding in Python and PyTorch.
  ☆387Updated last year
• varun196 / knowledge_graph_from_unstructured_text
  Building knowledge graph from input data
  ☆52Updated 5 years ago
• songjiang0909 / awesome-knowledge-graph-construction
  ☆123Updated 3 years ago
• bio-ontology-research-group / machine-learning-with-ontologies
  ☆130Updated 2 years ago
• youngbin-ro / Multi2OIE
  Multi^2OIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERT (Findings of ACL: EMNLP 2020)
  ☆56Updated 2 years ago
• Michael-Stewart-Webdev / Seq2KG
  A neural model for knowledge graph construction from text.
  ☆21Updated 2 years ago