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How to Turn Your Knowledge Graph Embeddings into Generative Models

How to Turn Your Knowledge Graph Embeddings into Generative Models

25 May 2023
Lorenzo Loconte
Nicola Di Mauro
Robert Peharz
Antonio Vergari
ArXivPDFHTML

Papers citing "How to Turn Your Knowledge Graph Embeddings into Generative Models"

14 / 14 papers shown
Title
Squared families: Searching beyond regular probability models
Squared families: Searching beyond regular probability models
Russell Tsuchida
Jiawei Liu
Cheng Soon Ong
Dino Sejdinovic
39
0
0
27 Mar 2025
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs
Milan Papez
Martin Rektoris
Václav Smídl
Tomás Pevný
TPM
78
0
0
15 Mar 2025
How the (Tensor-) Brain uses Embeddings and Embodiment to Encode Senses and Symbols
How the (Tensor-) Brain uses Embeddings and Embodiment to Encode Senses and Symbols
Volker Tresp
Hang Li
29
0
0
31 Dec 2024
Is Complex Query Answering Really Complex?
Is Complex Query Answering Really Complex?
Cosimo Gregucci
Bo Xiong
Daniel Hernández
Lorenzo Loconte
Pasquale Minervini
Steffen Staab
Antonio Vergari
ELM
43
2
0
16 Oct 2024
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?
Lorenzo Loconte
Antonio Mari
G. Gala
Robert Peharz
Cassio de Campos
Erik Quaeghebeur
G. Vessio
Antonio Vergari
43
8
0
12 Sep 2024
Sum of Squares Circuits
Sum of Squares Circuits
Lorenzo Loconte
Stefan Mengel
Antonio Vergari
TPM
25
6
0
21 Aug 2024
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits
G. Gala
Cassio de Campos
Antonio Vergari
Erik Quaeghebeur
TPM
63
4
0
10 Jun 2024
Scaling Tractable Probabilistic Circuits: A Systems Perspective
Scaling Tractable Probabilistic Circuits: A Systems Perspective
Anji Liu
Kareem Ahmed
Guy Van den Broeck
TPM
BDL
31
7
0
02 Jun 2024
Image Inpainting via Tractable Steering of Diffusion Models
Image Inpainting via Tractable Steering of Diffusion Models
Anji Liu
Mathias Niepert
Guy Van den Broeck
DiffM
TPM
28
16
0
28 Nov 2023
Subtractive Mixture Models via Squaring: Representation and Learning
Subtractive Mixture Models via Squaring: Representation and Learning
Lorenzo Loconte
Aleksanteri Sladek
Stefan Mengel
Martin Trapp
Arno Solin
Nicolas Gillis
Antonio Vergari
TPM
33
21
0
01 Oct 2023
Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A
  Look at Link Prediction, Rule Learning, and Downstream Polypharmacy Tasks
Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy Tasks
Aryo Pradipta Gema
Dominik Grabarczyk
Wolf De Wulf
Piyush Borole
J. Alfaro
Pasquale Minervini
Antonio Vergari
A. Rajan
15
9
0
31 May 2023
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey
L. Delong
Ramon Fernández Mir
Jacques D. Fleuriot
NAI
25
12
0
14 Feb 2023
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
83
43
0
06 Oct 2021
Understanding the Performance of Knowledge Graph Embeddings in Drug
  Discovery
Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery
Stephen Bonner
Ian P Barrett
Cheng Ye
Rowan Swiers
O. Engkvist
Charles Tapley Hoyt
William L. Hamilton
36
51
0
17 May 2021
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