ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.00053
  4. Cited By
Are We Wasting Time? A Fast, Accurate Performance Evaluation Framework
  for Knowledge Graph Link Predictors

Are We Wasting Time? A Fast, Accurate Performance Evaluation Framework for Knowledge Graph Link Predictors

25 January 2024
Filip Cornell
Yifei Jin
Jussi Karlgren
Sarunas Girdzijauskas
ArXivPDFHTML

Papers citing "Are We Wasting Time? A Fast, Accurate Performance Evaluation Framework for Knowledge Graph Link Predictors"

2 / 2 papers shown
Title
Relation Prediction as an Auxiliary Training Objective for Improving
  Multi-Relational Graph Representations
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations
Yihong Chen
Pasquale Minervini
Sebastian Riedel
Pontus Stenetorp
88
43
0
06 Oct 2021
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph
  Embeddings
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings
Mehdi Ali
M. Berrendorf
Charles Tapley Hoyt
Laurent Vermue
Sahand Sharifzadeh
Volker Tresp
Jens Lehmann
39
142
0
28 Jul 2020
1