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SnapE -- Training Snapshot Ensembles of Link Prediction Models

SnapE -- Training Snapshot Ensembles of Link Prediction Models

5 August 2024
Ali Shaban
Heiko Paulheim
    VLM
ArXivPDFHTML

Papers citing "SnapE -- Training Snapshot Ensembles of Link Prediction Models"

8 / 8 papers shown
Title
DyTTP: Trajectory Prediction with Normalization-Free Transformers
DyTTP: Trajectory Prediction with Normalization-Free Transformers
Yunxiang Liu
Hongkuo Niu
60
0
0
07 Apr 2025
Link Prediction with Attention Applied on Multiple Knowledge Graph
  Embedding Models
Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Models
Cosimo Gregucci
M. Nayyeri
Daniel Hernández
Steffen Staab
60
20
0
13 Feb 2023
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
57
144
0
28 Jul 2020
Knowledge Graphs on the Web -- an Overview
Knowledge Graphs on the Web -- an Overview
Nicolas Heist
S. Hertling
Daniel Ringler
Heiko Paulheim
66
68
0
02 Mar 2020
Snapshot Ensembles: Train 1, get M for free
Snapshot Ensembles: Train 1, get M for free
Gao Huang
Yixuan Li
Geoff Pleiss
Zhuang Liu
John E. Hopcroft
Kilian Q. Weinberger
OOD
FedML
UQCV
115
942
0
01 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
172
4,772
0
17 Mar 2017
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
246
8,030
0
13 Aug 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
87
3,174
0
20 Dec 2014
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