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A Re-evaluation of Knowledge Graph Completion Methods

A Re-evaluation of Knowledge Graph Completion Methods

10 November 2019
Zhiqing Sun
Shikhar Vashishth
Soumya Sanyal
Partha P. Talukdar
Yiming Yang
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Papers citing "A Re-evaluation of Knowledge Graph Completion Methods"

25 / 25 papers shown
Title
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
Yihong Chen
Pushkar Mishra
Luca Franceschi
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
67
20
0
17 Jan 2025
Progressive Knowledge Graph Completion
Progressive Knowledge Graph Completion
Jiayi Li
Ruilin Luo
Jiaqi Sun
Jing Xiao
Yujiu Yang
30
1
0
15 Apr 2024
DsMtGCN: A Direction-sensitive Multi-task framework for Knowledge Graph
  Completion
DsMtGCN: A Direction-sensitive Multi-task framework for Knowledge Graph Completion
Jining Wang
Chuan Chen
Zibin Zheng
Yuren Zhou
28
1
0
17 Jun 2023
Can Persistent Homology provide an efficient alternative for Evaluation
  of Knowledge Graph Completion Methods?
Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods?
Anson Bastos
Kuldeep Singh
Abhishek Nadgeri
Johannes Hoffart
Toyotaro Suzumura
Manish Singh
17
3
0
30 Jan 2023
Knowledge Is Flat: A Seq2Seq Generative Framework for Various Knowledge
  Graph Completion
Knowledge Is Flat: A Seq2Seq Generative Framework for Various Knowledge Graph Completion
Chen Chen
Yufei Wang
Bing Li
Kwok-Yan Lam
28
31
0
15 Sep 2022
KGxBoard: Explainable and Interactive Leaderboard for Evaluation of
  Knowledge Graph Completion Models
KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models
Haris Widjaja
Kiril Gashteovski
Wiem Ben-Rim
Pengfei Liu
Christopher Malon
Daniel Ruffinelli
Carolin (Haas) Lawrence
Graham Neubig
17
5
0
23 Aug 2022
StarGraph: Knowledge Representation Learning based on Incomplete Two-hop
  Subgraph
StarGraph: Knowledge Representation Learning based on Incomplete Two-hop Subgraph
Hongzhu Li
Xiang Gao
Linhui Feng
Yafeng Deng
Yuhui Yin
16
2
0
27 May 2022
Re-thinking Knowledge Graph Completion Evaluation from an Information
  Retrieval Perspective
Re-thinking Knowledge Graph Completion Evaluation from an Information Retrieval Perspective
Ying Zhou
Xuanang Chen
Ben He
Zheng Ye
Le Sun
23
11
0
09 May 2022
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving
  Relation Embedding Aggregation
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation
Kai Zhang
Yu Wang
Hongyi Wang
Lifu Huang
Carl Yang
Xun Chen
Lichao Sun
FedML
11
32
0
17 Mar 2022
Self-attention Presents Low-dimensional Knowledge Graph Embeddings for
  Link Prediction
Self-attention Presents Low-dimensional Knowledge Graph Embeddings for Link Prediction
Peyman Baghershahi
Reshad Hosseini
H. Moradi
26
52
0
20 Dec 2021
Explainable Biomedical Recommendations via Reinforcement Learning
  Reasoning on Knowledge Graphs
Explainable Biomedical Recommendations via Reinforcement Learning Reasoning on Knowledge Graphs
G. Edwards
Sebastian Nilsson
Benedek Rozemberczki
Eliseo Papa
23
12
0
20 Nov 2021
What is Learned in Knowledge Graph Embeddings?
What is Learned in Knowledge Graph Embeddings?
Michael R Douglas
Michael Simkin
Omri Ben-Eliezer
Tianqi Wu
Peter Chin
Trung D. Q. Dang
Andrew Wood
22
1
0
19 Oct 2021
Rule Induction in Knowledge Graphs Using Linear Programming
Rule Induction in Knowledge Graphs Using Linear Programming
S. Dash
Joao Goncalves
26
5
0
15 Oct 2021
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
85
43
0
06 Oct 2021
Cycle Representation Learning for Inductive Relation Prediction
Cycle Representation Learning for Inductive Relation Prediction
Zuoyu Yan
Tengfei Ma
Liangcai Gao
Zhi Tang
Chao Chen
21
20
0
06 Oct 2021
Is There More Pattern in Knowledge Graph? Exploring Proximity Pattern
  for Knowledge Graph Embedding
Is There More Pattern in Knowledge Graph? Exploring Proximity Pattern for Knowledge Graph Embedding
Ren Li
Yanan Cao
Qiannan Zhu
Xiaoxue Li
Fang Fang
GNN
30
2
0
02 Oct 2021
BiQUE: Biquaternionic Embeddings of Knowledge Graphs
BiQUE: Biquaternionic Embeddings of Knowledge Graphs
Jia Guo
Stanley Kok
131
29
0
29 Sep 2021
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A
  Semantic Evidence View
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View
Ren Li
Yanan Cao
Qiannan Zhu
Guanqun Bi
Fang Fang
Yi Liu
Qian Li
27
68
0
24 Sep 2021
r-GAT: Relational Graph Attention Network for Multi-Relational Graphs
r-GAT: Relational Graph Attention Network for Multi-Relational Graphs
Meiqi Chen
Yuan Zhang
Xiaoyu Kou
Yuntao Li
Yan Zhang
GNN
16
16
0
13 Sep 2021
HopfE: Knowledge Graph Representation Learning using Inverse Hopf
  Fibrations
HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations
Anson Bastos
Kuldeep Singh
Abhishek Nadgeri
Saeedeh Shekarpour
I. Mulang'
Johannes Hoffart
22
18
0
12 Aug 2021
Ranking vs. Classifying: Measuring Knowledge Base Completion Quality
Ranking vs. Classifying: Measuring Knowledge Base Completion Quality
M. Speranskaya
Martin Schmitt
Benjamin Roth
11
10
0
02 Feb 2021
Scalable and interpretable rule-based link prediction for large
  heterogeneous knowledge graphs
Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphs
Simon Ott
Laura Graf
Asan Agibetov
Christian Meilicke
Matthias Samwald
AI4CE
23
1
0
10 Dec 2020
MLMLM: Link Prediction with Mean Likelihood Masked Language Model
MLMLM: Link Prediction with Mean Likelihood Masked Language Model
Louis Clouâtre
P. Trempe
Amal Zouaq
Sarath Chandar
25
43
0
15 Sep 2020
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
8
336
0
01 Nov 2019
A Survey on Knowledge Graph Embeddings with Literals: Which model links
  better Literal-ly?
A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly?
Genet Asefa Gesese
Russa Biswas
Mehwish Alam
Harald Sack
22
81
0
28 Oct 2019
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