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

50 / 475 papers shown
Title
Relational Learning Analysis of Social Politics using Knowledge Graph
  Embedding
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding
Bilal Abu-Salih
Marwan Al-Tawil
Ibrahim Aljarah
Hossam Faris
P. Wongthongtham
28
59
0
02 Jun 2020
Randomly Weighted, Untrained Neural Tensor Networks Achieve Greater
  Relational Expressiveness
Randomly Weighted, Untrained Neural Tensor Networks Achieve Greater Relational Expressiveness
Jinyung Hong
Theodore P. Pavlic
8
0
0
01 Jun 2020
Speaker diarization with session-level speaker embedding refinement
  using graph neural networks
Speaker diarization with session-level speaker embedding refinement using graph neural networks
Jixuan Wang
Xiong Xiao
Jian Wu
Ranjani Ramamurthy
Frank Rudzicz
M. Brudno
28
25
0
22 May 2020
Graph Neural Networks with Composite Kernels
Graph Neural Networks with Composite Kernels
Yufan Zhou
Jiayi Xian
Changyou Chen
Jinhui Xu
GNN
24
2
0
16 May 2020
Benchmarking neural embeddings for link prediction in knowledge graphs
  under semantic and structural changes
Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changes
Asan Agibetov
Matthias Samwald
39
8
0
15 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Marinka Zitnik
Yuxiao Dong
Hongyu Ren
Bowen Liu
Michele Catasta
J. Leskovec
82
2,663
0
02 May 2020
Distantly-Supervised Neural Relation Extraction with Side Information
  using BERT
Distantly-Supervised Neural Relation Extraction with Side Information using BERT
Johny Moreira
Chaina Oliveira
David Macêdo
Cleber Zanchettin
Luciano Barbosa
11
9
0
29 Apr 2020
Vertex Nomination in Richly Attributed Networks
Vertex Nomination in Richly Attributed Networks
Keith D. Levin
Carey E. Priebe
V. Lyzinski
3DH
11
0
0
29 Apr 2020
Out-of-Sample Representation Learning for Multi-Relational Graphs
Out-of-Sample Representation Learning for Multi-Relational Graphs
Marjan Albooyeh
Rishab Goel
Seyed Mehran Kazemi
OOD
26
3
0
28 Apr 2020
SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic
  Question Answering and Spatial Semantic Lifting
SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic Lifting
Gengchen Mai
K. Janowicz
Ling Cai
Rui Zhu
Blake Regalia
Bo Yan
Meilin Shi
Ni Lao
24
75
0
25 Apr 2020
Exploring the Combination of Contextual Word Embeddings and Knowledge
  Graph Embeddings
Exploring the Combination of Contextual Word Embeddings and Knowledge Graph Embeddings
Lea Dieudonat
Kelvin Han
Phyllicia Leavitt
Esteban Marquer
20
3
0
17 Apr 2020
Learning Structured Embeddings of Knowledge Graphs with Adversarial
  Learning Framework
Learning Structured Embeddings of Knowledge Graphs with Adversarial Learning Framework
Jiehang Zeng
Lu Liu
Xiaoqing Zheng
GAN
16
2
0
15 Apr 2020
Tensor Decompositions for temporal knowledge base completion
Tensor Decompositions for temporal knowledge base completion
Timothée Lacroix
G. Obozinski
Nicolas Usunier
8
254
0
10 Apr 2020
Answering Complex Queries in Knowledge Graphs with Bidirectional
  Sequence Encoders
Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders
Bhushan Kotnis
Carolin (Haas) Lawrence
Mathias Niepert
RALM
27
40
0
06 Apr 2020
Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy
  Link Prediction
Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction
Tara Safavi
Danai Koutra
Edgar Meij
20
5
0
02 Apr 2020
What is Normal, What is Strange, and What is Missing in a Knowledge
  Graph: Unified Characterization via Inductive Summarization
What is Normal, What is Strange, and What is Missing in a Knowledge Graph: Unified Characterization via Inductive Summarization
Caleb Belth
Xinyi Zheng
Jilles Vreeken
Danai Koutra
30
43
0
23 Mar 2020
Realistic Re-evaluation of Knowledge Graph Completion Methods: An
  Experimental Study
Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study
F. Akrami
Mohammed Samiul Saeef
Qingheng Zhang
Wei Hu
Chengkai Li
KELM
16
109
0
18 Mar 2020
Towards Learning Instantiated Logical Rules from Knowledge Graphs
Towards Learning Instantiated Logical Rules from Knowledge Graphs
Yulong Gu
Yushi Guan
P. Missier
AI4CE
22
13
0
13 Mar 2020
Knowledge Graphs and Knowledge Networks: The Story in Brief
Knowledge Graphs and Knowledge Networks: The Story in Brief
A. Sheth
Swati Padhee
A. Gyrard
13
53
0
07 Mar 2020
An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data:
  Experience and Practice
An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice
Ruwan Wickramarachchi
C. Henson
A. Sheth
22
19
0
29 Feb 2020
Symbolic Querying of Vector Spaces: Probabilistic Databases Meets
  Relational Embeddings
Symbolic Querying of Vector Spaces: Probabilistic Databases Meets Relational Embeddings
Tal Friedman
Guy Van den Broeck
8
22
0
24 Feb 2020
Knowledge-Based Matching of $n$-ary Tuples
Knowledge-Based Matching of nnn-ary Tuples
Pierre Monnin
Miguel Couceiro
A. Napoli
Adrien Coulet
27
0
0
19 Feb 2020
Investigating Extensions to Random Walk Based Graph Embedding
Investigating Extensions to Random Walk Based Graph Embedding
Jorg Schlotterer
Martin Wehking
Fatemeh Salehi Rizi
Michael Granitzer
12
13
0
17 Feb 2020
On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link
  Prediction Methods
On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods
M. Berrendorf
Evgeniy Faerman
Laurent Vermue
Volker Tresp
6
19
0
17 Feb 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
8
301
0
14 Feb 2020
RDFFrames: Knowledge Graph Access for Machine Learning Tools
RDFFrames: Knowledge Graph Access for Machine Learning Tools
Aisha Mohamed
Ghadeer Abuoda
Abdurrahman Ghanem
Zoi Kaoudi
Ashraf Aboulnaga
16
14
0
10 Feb 2020
If I Hear You Correctly: Building and Evaluating Interview Chatbots with
  Active Listening Skills
If I Hear You Correctly: Building and Evaluating Interview Chatbots with Active Listening Skills
Ziang Xiao
Michelle X. Zhou
Wenxi Chen
Huahai Yang
C. Chi
27
93
0
05 Feb 2020
Knowledge Graph Embedding for Link Prediction: A Comparative Analysis
Knowledge Graph Embedding for Link Prediction: A Comparative Analysis
Andrea Rossi
D. Firmani
Antonio Matinata
P. Merialdo
Denilson Barbosa
24
342
0
03 Feb 2020
Dynamic Parameter Allocation in Parameter Servers
Dynamic Parameter Allocation in Parameter Servers
Alexander Renz-Wieland
Rainer Gemulla
Steffen Zeuch
Volker Markl
11
17
0
03 Feb 2020
A Survey on Knowledge Graphs: Representation, Acquisition and
  Applications
A Survey on Knowledge Graphs: Representation, Acquisition and Applications
Shaoxiong Ji
Shirui Pan
Min Zhang
Pekka Marttinen
Philip S. Yu
200
1,944
0
02 Feb 2020
The Tensor Brain: Semantic Decoding for Perception and Memory
The Tensor Brain: Semantic Decoding for Perception and Memory
Volker Tresp
Sahand Sharifzadeh
Dario Konopatzki
Yunpu Ma
15
8
0
29 Jan 2020
The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a
  Focus on Reproducibility and Transferability
The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability
Mehdi Ali
Hajira Jabeen
Charles Tapley Hoyt
Jens Lehmann
19
16
0
28 Jan 2020
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge
  Graphs
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs
Marcel Hildebrandt
Jorge Andres Quintero Serna
Yunpu Ma
Martin Ringsquandl
Mitchell Joblin
Volker Tresp
19
1
0
09 Jan 2020
Measuring Diversity in Heterogeneous Information Networks
Measuring Diversity in Heterogeneous Information Networks
P. Morales
Robin Lamarche-Perrin
Raphaël Fournier-S’niehotta
Remy Poulain
Lionel Tabourier
Fabien Tarissan
18
26
0
05 Jan 2020
Quantum Machine Learning Algorithm for Knowledge Graphs
Quantum Machine Learning Algorithm for Knowledge Graphs
Yunpu Ma
Volker Tresp
27
11
0
04 Jan 2020
Non-Parametric Learning of Gaifman Models
Non-Parametric Learning of Gaifman Models
Devendra Singh Dhami
Siwen Yan
Gautam Kunapuli
S. Natarajan
30
3
0
02 Jan 2020
Reasoning on Knowledge Graphs with Debate Dynamics
Reasoning on Knowledge Graphs with Debate Dynamics
Marcel Hildebrandt
Jorge Andres Quintero Serna
Yunpu Ma
Martin Ringsquandl
Mitchell Joblin
Volker Tresp
28
51
0
02 Jan 2020
A Review on Intelligent Object Perception Methods Combining
  Knowledge-based Reasoning and Machine Learning
A Review on Intelligent Object Perception Methods Combining Knowledge-based Reasoning and Machine Learning
Filippos Gouidis
Alexandros Vassiliades
T. Patkos
Antonis Argyros
Nick Bassiliades
Dimitris Plexousakis
OCL
29
12
0
26 Dec 2019
Probability Calibration for Knowledge Graph Embedding Models
Probability Calibration for Knowledge Graph Embedding Models
Pedro Tabacof
Luca Costabello
14
46
0
20 Dec 2019
Meta-Graph: Few Shot Link Prediction via Meta Learning
Meta-Graph: Few Shot Link Prediction via Meta Learning
A. Bose
Ankit Jain
Piero Molino
William L. Hamilton
30
63
0
20 Dec 2019
Differentiable Reasoning on Large Knowledge Bases and Natural Language
Differentiable Reasoning on Large Knowledge Bases and Natural Language
Pasquale Minervini
Matko Bovsnjak
Tim Rocktaschel
Sebastian Riedel
Edward Grefenstette
LRM
24
88
0
17 Dec 2019
Binarized Canonical Polyadic Decomposition for Knowledge Graph
  Completion
Binarized Canonical Polyadic Decomposition for Knowledge Graph Completion
Koki Kishimoto
Katsuhiko Hayashi
Genki Akai
Masashi Shimbo
24
1
0
04 Dec 2019
Contrastive Learning of Structured World Models
Contrastive Learning of Structured World Models
Thomas Kipf
Elise van der Pol
Max Welling
OCL
DRL
28
278
0
27 Nov 2019
Knowledge Graph Entity Alignment with Graph Convolutional Networks:
  Lessons Learned
Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned
M. Berrendorf
Evgeniy Faerman
Valentyn Melnychuk
Volker Tresp
T. Seidl
GNN
22
15
0
19 Nov 2019
Interstellar: Searching Recurrent Architecture for Knowledge Graph
  Embedding
Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding
Yongqi Zhang
Quanming Yao
Lei Chen
30
4
0
17 Nov 2019
Inductive Relation Prediction by Subgraph Reasoning
Inductive Relation Prediction by Subgraph Reasoning
Komal K. Teru
E. Denis
William L. Hamilton
NAI
AI4CE
29
388
0
16 Nov 2019
Decompressing Knowledge Graph Representations for Link Prediction
Decompressing Knowledge Graph Representations for Link Prediction
Xiang Kong
Xianyang Chen
Eduard H. Hovy
AI4CE
23
5
0
11 Nov 2019
Composition-based Multi-Relational Graph Convolutional Networks
Composition-based Multi-Relational Graph Convolutional Networks
Shikhar Vashishth
Soumya Sanyal
Vikram Nitin
Partha P. Talukdar
GNN
22
816
0
08 Nov 2019
Neural Graph Embedding Methods for Natural Language Processing
Neural Graph Embedding Methods for Natural Language Processing
Shikhar Vashishth
GNN
25
9
0
08 Nov 2019
CoKE: Contextualized Knowledge Graph Embedding
CoKE: Contextualized Knowledge Graph Embedding
Quan Wang
Pingping Huang
Haifeng Wang
Songtai Dai
Wenbin Jiang
Jing Liu
Yajuan Lyu
Yong Zhu
Hua Wu
27
84
0
06 Nov 2019
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