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. 2102.11389
  4. Cited By
Approximate Knowledge Graph Query Answering: From Ranking to Binary
  Classification

Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification

22 February 2021
Ruud van Bakel
Teodor Aleksiev
Daniel Daza
Dimitrios Alivanistos
Michael Cochez
ArXiv (abs)PDFHTML

Papers citing "Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification"

12 / 12 papers shown
Title
Complex Query Answering with Neural Link Predictors
Complex Query Answering with Neural Link Predictors
Erik Arakelyan
Daniel Daza
Pasquale Minervini
Michael Cochez
74
134
0
06 Nov 2020
Analyzing Differentiable Fuzzy Implications
Analyzing Differentiable Fuzzy Implications
Emile van Krieken
Erman Acar
F. V. Harmelen
AI4CE
55
29
0
04 Jun 2020
Query2box: Reasoning over Knowledge Graphs in Vector Space using Box
  Embeddings
Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings
Hongyu Ren
Weihua Hu
J. Leskovec
64
309
0
14 Feb 2020
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DHGNN3DPC
237
4,364
0
06 Mar 2019
Embedding Logical Queries on Knowledge Graphs
Embedding Logical Queries on Knowledge Graphs
William L. Hamilton
Payal Bajaj
Marinka Zitnik
Dan Jurafsky
J. Leskovec
NAI
82
291
0
05 Jun 2018
Adversarial Sets for Regularising Neural Link Predictors
Adversarial Sets for Regularising Neural Link Predictors
Pasquale Minervini
T. Demeester
Tim Rocktaschel
Sebastian Riedel
PINN
57
100
0
24 Jul 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
598
7,488
0
04 Apr 2017
Modeling Relational Data with Graph Convolutional Networks
Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
194
4,831
0
17 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
662
29,156
0
09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
358
7,671
0
30 Jun 2016
Complex Embeddings for Simple Link Prediction
Complex Embeddings for Simple Link Prediction
Théo Trouillon
Johannes Welbl
Sebastian Riedel
Éric Gaussier
Guillaume Bouchard
BDL
93
2,984
0
20 Jun 2016
Embedding Entities and Relations for Learning and Inference in Knowledge
  Bases
Embedding Entities and Relations for Learning and Inference in Knowledge Bases
Bishan Yang
Wen-tau Yih
Xiaodong He
Jianfeng Gao
Li Deng
NAI
107
3,203
0
20 Dec 2014
1