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A Review of Relational Machine Learning for Knowledge Graphs

A Review of Relational Machine Learning for Knowledge Graphs

2 March 2015
Maximilian Nickel
Kevin Patrick Murphy
Volker Tresp
E. Gabrilovich
ArXivPDFHTML

Papers citing "A Review of Relational Machine Learning for Knowledge Graphs"

50 / 475 papers shown
Title
InteractE: Improving Convolution-based Knowledge Graph Embeddings by
  Increasing Feature Interactions
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions
Shikhar Vashishth
Soumya Sanyal
Vikram Nitin
Nilesh Agrawal
Partha P. Talukdar
16
336
0
01 Nov 2019
Knowledge-based Biomedical Data Science 2019
Knowledge-based Biomedical Data Science 2019
Tiffany J. Callahan
Harrison Pielke-Lombardo
Ignacio J. Tripodi
Lawrence E. Hunter
AI4CE
21
36
0
08 Oct 2019
Compensating Supervision Incompleteness with Prior Knowledge in Semantic
  Image Interpretation
Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation
Ivan Donadello
Luciano Serafini
19
25
0
01 Oct 2019
Contextual Graph Attention for Answering Logical Queries over Incomplete
  Knowledge Graphs
Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs
Gengchen Mai
K. Janowicz
Bo Yan
Rui Zhu
Ling Cai
Ni Lao
15
15
0
30 Sep 2019
Assessing the Lexico-Semantic Relational Knowledge Captured by Word and
  Concept Embeddings
Assessing the Lexico-Semantic Relational Knowledge Captured by Word and Concept Embeddings
R. Denaux
José Manuél Gómez-Pérez
17
3
0
24 Sep 2019
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous
  Information Network Embedding
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding
Yu He
Yangqiu Song
Jianxin Li
Cheng Ji
Jian Peng
Hao Peng
19
111
0
07 Sep 2019
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge
  Graphs
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs
Katsuhiko Hayashi
Masashi Shimbo
19
3
0
04 Sep 2019
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
460
2,592
0
03 Sep 2019
Unsupervised Hierarchical Grouping of Knowledge Graph Entities
Unsupervised Hierarchical Grouping of Knowledge Graph Entities
Sameh K. Mohamed
OCL
19
6
0
20 Aug 2019
LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical
  Rules
LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules
M. Nayyeri
Chengjin Xu
Jens Lehmann
H. S. Yazdi
NAI
25
15
0
20 Aug 2019
Distributional Negative Sampling for Knowledge Base Completion
Distributional Negative Sampling for Knowledge Base Completion
Sarthak Dash
A. Gliozzo
27
8
0
16 Aug 2019
Architecture and evolution of semantic networks in mathematics texts
Architecture and evolution of semantic networks in mathematics texts
Nicolas H. Christianson
Ann Sizemore Blevins
D. Bassett
14
26
0
14 Aug 2019
HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base
  Completion
HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion
Prodromos Kolyvakis
Alexandros Kalousis
D. Kiritsis
25
44
0
14 Aug 2019
Continuous Graph Flow
Continuous Graph Flow
Zhiwei Deng
Megha Nawhal
Lili Meng
Greg Mori
29
3
0
07 Aug 2019
Lifelong and Interactive Learning of Factual Knowledge in Dialogues
Lifelong and Interactive Learning of Factual Knowledge in Dialogues
Sahisnu Mazumder
Bing-Quan Liu
Shuai Wang
Nianzu Ma
KELM
RALM
11
24
0
31 Jul 2019
Structured Knowledge Discovery from Massive Text Corpus
Structured Knowledge Discovery from Massive Text Corpus
Chenwei Zhang
24
0
0
23 Jul 2019
Introduction to Neural Network based Approaches for Question Answering
  over Knowledge Graphs
Introduction to Neural Network based Approaches for Question Answering over Knowledge Graphs
Nilesh Chakraborty
Denis Lukovnikov
Gaurav Maheshwari
Priyansh Trivedi
Jens Lehmann
Asja Fischer
GNN
LMTD
13
54
0
22 Jul 2019
A Relational Memory-based Embedding Model for Triple Classification and
  Search Personalization
A Relational Memory-based Embedding Model for Triple Classification and Search Personalization
Dai Quoc Nguyen
T. Nguyen
Dinh Q. Phung
KELM
27
22
0
13 Jul 2019
Time2Vec: Learning a Vector Representation of Time
Time2Vec: Learning a Vector Representation of Time
Seyed Mehran Kazemi
Rishab Goel
Sepehr Eghbali
J. Ramanan
Jaspreet Sahota
Sanjay Thakur
Stella Wu
Cathal Smyth
Pascal Poupart
Marcus A. Brubaker
AI4TS
33
330
0
11 Jul 2019
Fast Haar Transforms for Graph Neural Networks
Fast Haar Transforms for Graph Neural Networks
Ming Li
Zheng Ma
Yu Guang Wang
Xiaosheng Zhuang
33
74
0
10 Jul 2019
Diachronic Embedding for Temporal Knowledge Graph Completion
Diachronic Embedding for Temporal Knowledge Graph Completion
Rishab Goel
Seyed Mehran Kazemi
Marcus A. Brubaker
Pascal Poupart
34
341
0
06 Jul 2019
Augmenting and Tuning Knowledge Graph Embeddings
Augmenting and Tuning Knowledge Graph Embeddings
Robert Bamler
Farnood Salehi
Stephan Mandt
21
7
0
01 Jul 2019
Database Meets Deep Learning: Challenges and Opportunities
Database Meets Deep Learning: Challenges and Opportunities
Wei Wang
Meihui Zhang
Gang Chen
H. V. Jagadish
Beng Chin Ooi
K. Tan
24
147
0
21 Jun 2019
Probabilistic Logic Neural Networks for Reasoning
Probabilistic Logic Neural Networks for Reasoning
Meng Qu
Jian Tang
30
160
0
20 Jun 2019
An Open-World Extension to Knowledge Graph Completion Models
An Open-World Extension to Knowledge Graph Completion Models
Haseeb Shah
Johannes Villmow
A. Ulges
Ulrich Schwanecke
Faisal Shafait
VLM
20
76
0
19 Jun 2019
Representation Learning for Words and Entities
Representation Learning for Words and Entities
Pushpendre Rastogi
SSL
39
0
0
12 Jun 2019
Neural Variational Inference For Estimating Uncertainty in Knowledge
  Graph Embeddings
Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings
Alexander I. Cowen-Rivers
Pasquale Minervini
Tim Rocktaschel
Matko Bosnjak
Sebastian Riedel
Jun Wang
BDL
33
4
0
12 Jun 2019
Knowledge Hypergraphs: Prediction Beyond Binary Relations
Knowledge Hypergraphs: Prediction Beyond Binary Relations
Bahare Fatemi
Perouz Taslakian
David Vazquez
David Poole
21
18
0
01 Jun 2019
Augmenting Transfer Learning with Semantic Reasoning
Augmenting Transfer Learning with Semantic Reasoning
Freddy Lecue
Jiaoyan Chen
Jeff Z. Pan
Huajun Chen
LRM
11
5
0
31 May 2019
A Boxology of Design Patterns for Hybrid Learning and Reasoning Systems
A Boxology of Design Patterns for Hybrid Learning and Reasoning Systems
F. V. Harmelen
A. T. Teije
14
67
0
29 May 2019
Leveraging Semantics for Incremental Learning in Multi-Relational
  Embeddings
Leveraging Semantics for Incremental Learning in Multi-Relational Embeddings
A. Daruna
Weiyu Liu
Z. Kira
Sonia Chernova
25
0
0
29 May 2019
Parallax: Visualizing and Understanding the Semantics of Embedding
  Spaces via Algebraic Formulae
Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae
Piero Molino
Yang Wang
Jiawei Zhang
17
9
0
28 May 2019
Putting An End to End-to-End: Gradient-Isolated Learning of
  Representations
Putting An End to End-to-End: Gradient-Isolated Learning of Representations
Sindy Löwe
Peter O'Connor
Bastiaan S. Veeling
SSL
14
143
0
28 May 2019
Representation Learning for Dynamic Graphs: A Survey
Representation Learning for Dynamic Graphs: A Survey
Seyed Mehran Kazemi
Rishab Goel
Kshitij Jain
I. Kobyzev
Akshay Sethi
Peter Forsyth
Pascal Poupart
AI4TS
AI4CE
GNN
33
447
0
27 May 2019
Path Ranking with Attention to Type Hierarchies
Path Ranking with Attention to Type Hierarchies
Weiyu Liu
A. Daruna
Z. Kira
Sonia Chernova
AIMat
27
13
0
26 May 2019
TACAM: Topic And Context Aware Argument Mining
TACAM: Topic And Context Aware Argument Mining
Michael Fromm
Evgeniy Faerman
T. Seidl
16
25
0
26 May 2019
MDE: Multiple Distance Embeddings for Link Prediction in Knowledge
  Graphs
MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs
Afshin Sadeghi
D. Graux
H. S. Yazdi
Jens Lehmann
27
15
0
25 May 2019
Compositional Fairness Constraints for Graph Embeddings
Compositional Fairness Constraints for Graph Embeddings
A. Bose
William L. Hamilton
FaML
27
256
0
25 May 2019
Exploiting Cognitive Structure for Adaptive Learning
Exploiting Cognitive Structure for Adaptive Learning
Qi Liu
Shiwei Tong
Chuanren Liu
Hongke Zhao
Enhong Chen
Haiping Ma
Shijin Wang
28
119
0
23 May 2019
Learning Embeddings into Entropic Wasserstein Spaces
Learning Embeddings into Entropic Wasserstein Spaces
Charlie Frogner
F. Mirzazadeh
Justin Solomon
11
30
0
08 May 2019
Network Representation Learning: Consolidation and Renewed Bearing
Network Representation Learning: Consolidation and Renewed Bearing
Saket Gurukar
Priyesh Vijayan
Aakash Srinivasan
Goonmeet Bajaj
Chen Cai
...
Pranav Maneriker
Anasua Mitra
Vedang Patel
Balaraman Ravindran
Srinivasan Parthasarathy
27
22
0
02 May 2019
Improving Visual Relation Detection using Depth Maps
Improving Visual Relation Detection using Depth Maps
Sahand Sharifzadeh
Sina Moayed Baharlou
M. Berrendorf
Rajat Koner
Volker Tresp
16
21
0
02 May 2019
On the Use of ArXiv as a Dataset
On the Use of ArXiv as a Dataset
Colin B. Clement
Matthew Bierbaum
K. O’Keeffe
Alexander A. Alemi
AI4CE
16
129
0
30 Apr 2019
Soft Marginal TransE for Scholarly Knowledge Graph Completion
Soft Marginal TransE for Scholarly Knowledge Graph Completion
M. Nayyeri
S. Vahdati
Jens Lehmann
H. S. Yazdi
19
14
0
27 Apr 2019
AutoSF: Searching Scoring Functions for Knowledge Graph Embedding
AutoSF: Searching Scoring Functions for Knowledge Graph Embedding
Yongqi Zhang
Quanming Yao
Wenyuan Dai
Lei Chen
19
79
0
26 Apr 2019
Fake News Early Detection: An Interdisciplinary Study
Fake News Early Detection: An Interdisciplinary Study
Xinyi Zhou
Atishay Jain
V. Phoha
R. Zafarani
22
206
0
26 Apr 2019
Political Text Scaling Meets Computational Semantics
Political Text Scaling Meets Computational Semantics
F. Nanni
Goran Glavaš
Ines Rehbein
Simone Paolo Ponzetto
Heiner Stuckenschmidt
16
15
0
12 Apr 2019
Learning Relational Representations with Auto-encoding Logic Programs
Learning Relational Representations with Auto-encoding Logic Programs
Sebastijan Dumancic
Tias Guns
Wannes Meert
Hendrik Blockeel
NAI
21
28
0
29 Mar 2019
PyTorch-BigGraph: A Large-scale Graph Embedding System
PyTorch-BigGraph: A Large-scale Graph Embedding System
Adam Lerer
Ledell Yu Wu
Jiajun Shen
Timothée Lacroix
Luca Wehrstedt
Abhijit Bose
A. Peysakhovich
GNN
25
384
0
28 Mar 2019
Learning Discrete Structures for Graph Neural Networks
Learning Discrete Structures for Graph Neural Networks
Luca Franceschi
Mathias Niepert
Massimiliano Pontil
X. He
GNN
30
410
0
28 Mar 2019
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