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Convolutional 2D Knowledge Graph Embeddings

Convolutional 2D Knowledge Graph Embeddings

5 July 2017
Tim Dettmers
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
    GNN
    3DV
ArXivPDFHTML

Papers citing "Convolutional 2D Knowledge Graph Embeddings"

50 / 839 papers shown
Title
Inference over Unseen Entities, Relations and Literals on Knowledge
  Graphs
Inference over Unseen Entities, Relations and Literals on Knowledge Graphs
Caglar Demir
N'Dah Jean Kouagou
Arnab Sharma
Axel-Cyrille Ngonga Ngomo
30
0
0
09 Oct 2024
Learning to Solve Abstract Reasoning Problems with Neurosymbolic Program
  Synthesis and Task Generation
Learning to Solve Abstract Reasoning Problems with Neurosymbolic Program Synthesis and Task Generation
J. Bednarek
K. Krawiec
LRM
NAI
25
0
0
06 Oct 2024
MARS: A neurosymbolic approach for interpretable drug discovery
MARS: A neurosymbolic approach for interpretable drug discovery
L. Delong
Yojana Gadiya
Paola Galdi
Jacques D. Fleuriot
Daniel Domingo-Fernández
233
2
0
02 Oct 2024
Reevaluation of Inductive Link Prediction
Reevaluation of Inductive Link Prediction
Simon Ott
Christian Meilicke
Heiner Stuckenschmidt
40
0
0
30 Sep 2024
Knowledge Graph Embedding by Normalizing Flows
Knowledge Graph Embedding by Normalizing Flows
Changyi Xiao
Xiangnan He
Yixin Cao
14
3
0
30 Sep 2024
MUSE: Integrating Multi-Knowledge for Knowledge Graph Completion
MUSE: Integrating Multi-Knowledge for Knowledge Graph Completion
Pengjie Liu
32
0
0
26 Sep 2024
DSparsE: Dynamic Sparse Embedding for Knowledge Graph Completion
DSparsE: Dynamic Sparse Embedding for Knowledge Graph Completion
Chuhong Yang
Bin Li
Nan Wu
44
0
0
22 Sep 2024
KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning
KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning
Junnan Liu
Qianren Mao
Weifeng Jiang
Jianxin Li
42
0
0
19 Sep 2024
Hierarchical Blockmodelling for Knowledge Graphs
Hierarchical Blockmodelling for Knowledge Graphs
Marcin Pietrasik
Marek Reformat
Anna Wilbik
42
1
0
28 Aug 2024
Learning Granularity Representation for Temporal Knowledge Graph
  Completion
Learning Granularity Representation for Temporal Knowledge Graph Completion
Jinchuan Zhang
Tianqi Wan
Chong Mu
Guangxi Lu
Ling Tian
26
0
0
27 Aug 2024
CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding
CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding
Yang Liu
Chuan Zhou
Peng Zhang
Yanan Cao
Yongchao Liu
Zhao Li
Hongyang Chen
49
2
0
27 Aug 2024
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction
Yuqicheng Zhu
Nico Potyka
M. Nayyeri
Bo Xiong
Yunjie He
Evgeny Kharlamov
Steffen Staab
62
1
0
15 Aug 2024
Graph Retrieval-Augmented Generation: A Survey
Graph Retrieval-Augmented Generation: A Survey
Boci Peng
Yun Zhu
Yongchao Liu
Xiaohe Bo
Haizhou Shi
Chuntao Hong
Yan Zhang
Siliang Tang
3DV
63
67
0
15 Aug 2024
Relational Graph Convolutional Networks Do Not Learn Sound Rules
Relational Graph Convolutional Networks Do Not Learn Sound Rules
Matthew Morris
David Tena Cucala
Bernardo Cuenca Grau
Ian Horrocks
33
0
0
14 Aug 2024
Fast-and-Frugal Text-Graph Transformers are Effective Link Predictors
Fast-and-Frugal Text-Graph Transformers are Effective Link Predictors
Andrei Catalin Coman
Christos Theodoropoulos
Marie-Francine Moens
James Henderson
46
0
0
13 Aug 2024
Bridging LLMs and KGs without Fine-Tuning: Intermediate Probing Meets Subgraph-Aware Entity Descriptions
Bridging LLMs and KGs without Fine-Tuning: Intermediate Probing Meets Subgraph-Aware Entity Descriptions
Bo Xue
Yi Xu
Yunchong Song
Yiming Pang
Yuyang Ren
Jiaxin Ding
Luoyi Fu
Xinbing Wang
OffRL
57
0
0
13 Aug 2024
MUSE: Multi-Knowledge Passing on the Edges, Boosting Knowledge Graph
  Completion
MUSE: Multi-Knowledge Passing on the Edges, Boosting Knowledge Graph Completion
Pengjie Liu
21
0
0
09 Aug 2024
Learning Rule-Induced Subgraph Representations for Inductive Relation
  Prediction
Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction
Tianyu Liu
Qitan Lv
Jie Wang
Shuling Yang
Hanzhu Chen
36
3
0
09 Aug 2024
MM-Forecast: A Multimodal Approach to Temporal Event Forecasting with
  Large Language Models
MM-Forecast: A Multimodal Approach to Temporal Event Forecasting with Large Language Models
Haoxuan Li
Zhengmao Yang
Yunshan Ma
Yi Bin
Yang Yang
Tat-Seng Chua
43
0
0
08 Aug 2024
Enhancing Heterogeneous Knowledge Graph Completion with a Novel
  GAT-based Approach
Enhancing Heterogeneous Knowledge Graph Completion with a Novel GAT-based Approach
Wanxu Wei
Yitong Song
Bin Yao
47
6
0
05 Aug 2024
SnapE -- Training Snapshot Ensembles of Link Prediction Models
SnapE -- Training Snapshot Ensembles of Link Prediction Models
Ali Shaban
Heiko Paulheim
VLM
35
1
0
05 Aug 2024
Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge
  Graphs
Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge Graphs
Saiping Guan
Jiyao Wei
Xiaolong Jin
Jiafeng Guo
Xueqi Cheng
LRM
28
0
0
26 Jul 2024
Finetuning Generative Large Language Models with Discrimination
  Instructions for Knowledge Graph Completion
Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completion
Yang Liu
Xiaobin Tian
Zequn Sun
Wei Hu
38
3
0
23 Jul 2024
A Comprehensive Evaluation of Large Language Models on Temporal Event Forecasting
A Comprehensive Evaluation of Large Language Models on Temporal Event Forecasting
He Chang
Chenchen Ye
Zhulin Tao
Jie Wu
Zhengmao Yang
Yunshan Ma
Xianglin Huang
Tat-Seng Chua
AI4TS
39
1
0
16 Jul 2024
Expanding the Scope: Inductive Knowledge Graph Reasoning with
  Multi-Starting Progressive Propagation
Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation
Zhoutian Shao
Yuanning Cui
Wei Hu
ReLM
LRM
AI4CE
46
0
0
15 Jul 2024
Performance Evaluation of Knowledge Graph Embedding Approaches under
  Non-adversarial Attacks
Performance Evaluation of Knowledge Graph Embedding Approaches under Non-adversarial Attacks
Sourabh Kapoor
Arnab Sharma
Michael Röder
Caglar Demir
Axel-Cyrille Ngonga Ngomo
AAML
38
0
0
09 Jul 2024
Fast and Continual Knowledge Graph Embedding via Incremental LoRA
Fast and Continual Knowledge Graph Embedding via Incremental LoRA
Jiajun Liu
Wenjun Ke
Peng Wang
Jiahao Wang
Jinhua Gao
Ziyu Shang
Guozheng Li
Zijie Xu
Ke Ji
Yining Li
CLL
30
3
0
08 Jul 2024
Unified Interpretation of Smoothing Methods for Negative Sampling Loss
  Functions in Knowledge Graph Embedding
Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph Embedding
Xincan Feng
Hidetaka Kamigaito
Katsuhiko Hayashi
Taro Watanabe
44
1
0
05 Jul 2024
Neural Probabilistic Logic Learning for Knowledge Graph Reasoning
Neural Probabilistic Logic Learning for Knowledge Graph Reasoning
Fengsong Sun
Jinyu Wang
Zhiqing Wei
Xianchao Zhang
NAI
40
0
0
04 Jul 2024
Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive
  Multimodal Knowledge Graph Completion
Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph Completion
Yu Zhao
Ying Zhang
Baohang Zhou
Xinying Qian
Kehui Song
Xiangrui Cai
40
2
0
03 Jul 2024
Croppable Knowledge Graph Embedding
Croppable Knowledge Graph Embedding
Yushan Zhu
Wen Zhang
Zhiqiang Liu
Mingyang Chen
Lei Liang
Huajun Chen
30
0
0
03 Jul 2024
SF-GNN: Self Filter for Message Lossless Propagation in Deep Graph
  Neural Network
SF-GNN: Self Filter for Message Lossless Propagation in Deep Graph Neural Network
Yushan Zhu
Wen Zhang
Yajing Xu
Zhen Yao
Mingyang Chen
Huajun Chen
44
0
0
03 Jul 2024
Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph
  Completion
Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph Completion
Ananjan Nandi
Navdeep Kaur
Parag Singla
M. -
NAI
22
1
0
02 Jul 2024
Large Language Model Enhanced Knowledge Representation Learning: A Survey
Large Language Model Enhanced Knowledge Representation Learning: A Survey
Xin Wang
Zirui Chen
Haofen Wang
Leong Hou U
Zhao Li
Wenbin Guo
KELM
68
3
0
01 Jul 2024
Knowledge-Aware Parsimony Learning: A Perspective from Relational Graphs
Knowledge-Aware Parsimony Learning: A Perspective from Relational Graphs
Quanming Yao
Yongqi Zhang
Yaqing Wang
Nan Yin
James Kwok
Qiang Yang
42
0
0
29 Jun 2024
Adaptive Stochastic Weight Averaging
Adaptive Stochastic Weight Averaging
Caglar Demir
Arnab Sharma
Axel-Cyrille Ngonga Ngomo
MoMe
34
1
0
27 Jun 2024
Start from Zero: Triple Set Prediction for Automatic Knowledge Graph
  Completion
Start from Zero: Triple Set Prediction for Automatic Knowledge Graph Completion
Wen Zhang
Yajing Xu
Peng Ye
Zhiwei Huang
Zezhong Xu
Jiaoyan Chen
Jeff Z. Pan
Huajun Chen
34
1
0
26 Jun 2024
Personalized Federated Knowledge Graph Embedding with Client-Wise
  Relation Graph
Personalized Federated Knowledge Graph Embedding with Client-Wise Relation Graph
Xiaoxiong Zhang
Zhiwei Zeng
Xin Zhou
Dusit Niyato
Zhiqi Shen
FedML
70
3
0
17 Jun 2024
Relational Learning in Pre-Trained Models: A Theory from Hypergraph
  Recovery Perspective
Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective
Yang Chen
Cong Fang
Zhouchen Lin
Bing Liu
36
0
0
17 Jun 2024
Ontology Embedding: A Survey of Methods, Applications and Resources
Ontology Embedding: A Survey of Methods, Applications and Resources
Jiaoyan Chen
Olga Mashkova
Fernando Zhapa-Camacho
Robert Hoehndorf
Yuan He
Ian Horrocks
55
4
0
16 Jun 2024
Towards Better Benchmark Datasets for Inductive Knowledge Graph
  Completion
Towards Better Benchmark Datasets for Inductive Knowledge Graph Completion
Harry Shomer
Jay Revolinsky
Jiliang Tang
40
0
0
14 Jun 2024
Improving rule mining via embedding-based link prediction
Improving rule mining via embedding-based link prediction
N'Dah Jean Kouagou
Arif Yilmaz
Michel Dumontier
A. N. Ngomo
AI4CE
38
0
0
14 Jun 2024
Guiding Catalogue Enrichment with User Queries
Guiding Catalogue Enrichment with User Queries
Yupei Du
Jacek Golebiowski
Philipp Schmidt
Ziawasch Abedjan
28
0
0
11 Jun 2024
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via
  Feature Alignment
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment
Zhenyu Hou
Haozhan Li
Yukuo Cen
Jie Tang
Yuxiao Dong
36
6
0
05 Jun 2024
From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures with KGEPrisma
From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures with KGEPrisma
Christoph Wehner
Chrysa Iliopoulou
Ute Schmid
Tarek R. Besold
65
0
0
03 Jun 2024
A Unified Temporal Knowledge Graph Reasoning Model Towards Interpolation
  and Extrapolation
A Unified Temporal Knowledge Graph Reasoning Model Towards Interpolation and Extrapolation
Kai Chen
Ye Wang
Yitong Li
Aiping Li
Han Yu
Xin Song
32
5
0
28 May 2024
Predicting from a Different Perspective: A Re-ranking Model for
  Inductive Knowledge Graph Completion
Predicting from a Different Perspective: A Re-ranking Model for Inductive Knowledge Graph Completion
Yuki Iwamoto
Ken Kameiwa
42
1
0
27 May 2024
Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
Mingqing Xiao
Yixin Zhu
D.K. He
Zhouchen Lin
LRM
38
4
0
27 May 2024
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge
Pengcheng Jiang
Lang Cao
Cao Xiao
Parminder Bhatia
Jimeng Sun
Jiawei Han
AI4MH
49
4
0
26 May 2024
Cardinality Estimation on Hyper-relational Knowledge Graphs
Cardinality Estimation on Hyper-relational Knowledge Graphs
Fei Teng
Haoyang Li
Shimin Di
Lei Chen
72
3
0
24 May 2024
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