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Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and
  Perspective
v1v2v3v4v5v6v7 (latest)

Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective

International Joint Conference on Artificial Intelligence (IJCAI), 2020
29 February 2020
Luís C. Lamb
Artur S. dÁvila Garcez
Marco Gori
Marcelo O. R. Prates
Pedro H. C. Avelar
Moshe Y. Vardi
    NAIAI4CE
ArXiv (abs)PDFHTML

Papers citing "Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective"

42 / 42 papers shown
From Neural Networks to Logical Theories: The Correspondence between Fibring Modal Logics and Fibring Neural Networks
From Neural Networks to Logical Theories: The Correspondence between Fibring Modal Logics and Fibring Neural Networks
Ouns El Harzli
Bernardo Cuenca Grau
Artur Garcez
Ian Horrocks
Tarek R. Besold
FedMLAI4CE
307
1
0
28 Sep 2025
Quantum Abduction: A New Paradigm for Reasoning under Uncertainty
Quantum Abduction: A New Paradigm for Reasoning under Uncertainty
Remo Pareschi
LRM
106
0
0
21 Sep 2025
Neuro-Symbolic Frameworks: Conceptual Characterization and Empirical Comparative Analysis
Neuro-Symbolic Frameworks: Conceptual Characterization and Empirical Comparative Analysis
S. Sinha
Tanawan Premsri
Danial Kamali
Parisa Kordjamshidi
NAI
183
1
0
08 Sep 2025
FireGNN: Neuro-Symbolic Graph Neural Networks with Trainable Fuzzy Rules for Interpretable Medical Image Classification
FireGNN: Neuro-Symbolic Graph Neural Networks with Trainable Fuzzy Rules for Interpretable Medical Image Classification
Prajit Sengupta
Islem Rekik
AI4CE
178
0
0
02 Sep 2025
A Neuro-Symbolic Approach for Probabilistic Reasoning on Graph Data
A Neuro-Symbolic Approach for Probabilistic Reasoning on Graph Data
Raffaele Pojer
Baptiste Caramiaux
Kim G. Larsen
M. Jaeger
NAI
212
1
0
29 Jul 2025
Self-Organizing Language
Self-Organizing Language
P. Myles Eugenio
Anthony Beavers
185
0
0
29 Jun 2025
Enhancing Large Language Models through Neuro-Symbolic Integration and Ontological Reasoning
Enhancing Large Language Models through Neuro-Symbolic Integration and Ontological Reasoning
Ruslan Idelfonso Magana Vsevolodovna
Marco Monti
LRM
392
7
0
10 Apr 2025
A Study on Neuro-Symbolic Artificial Intelligence: Healthcare Perspectives
A Study on Neuro-Symbolic Artificial Intelligence: Healthcare Perspectives
Delower Hossain
Jake Y Chen
NAI
620
14
0
23 Mar 2025
Aligning Generalisation Between Humans and Machines
Aligning Generalisation Between Humans and Machines
Filip Ilievski
Barbara Hammer
F. V. Harmelen
Benjamin Paassen
S. Saralajew
...
Vered Shwartz
Gabriella Skitalinskaya
Clemens Stachl
Gido M. van de Ven
T. Villmann
776
5
0
23 Nov 2024
Neurosymbolic Graph Enrichment for Grounded World Models
Neurosymbolic Graph Enrichment for Grounded World ModelsInformation Processing & Management (IPM), 2024
S. D. Giorgis
Aldo Gangemi
Alessandro Russo
NAI
357
13
0
19 Nov 2024
Neural Model Checking
Neural Model CheckingNeural Information Processing Systems (NeurIPS), 2024
Mirco Giacobbe
Daniel Kroening
Abhinandan Pal
Michael Tautschnig
NAI
339
9
0
31 Oct 2024
Towards Efficient Neuro-Symbolic AI: From Workload Characterization to
  Hardware Architecture
Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture
Zishen Wan
Che-Kai Liu
Hanchen Yang
Ritik Raj
Chaojian Li
...
Yingyan Celine Lin
Mohamed Ibrahim
Jan M. Rabaey
Tushar Krishna
A. Raychowdhury
422
24
0
20 Sep 2024
Temporal Many-valued Conditional Logics: a Preliminary Report
Temporal Many-valued Conditional Logics: a Preliminary Report
Mario Alviano
Laura Giordano
Daniele Theseider Dupré
AI4CE
192
2
0
06 Sep 2024
Understanding GNNs for Boolean Satisfiability through Approximation
  Algorithms
Understanding GNNs for Boolean Satisfiability through Approximation AlgorithmsInternational Conference on Information and Knowledge Management (CIKM), 2024
Jan Hůla
David Mojžíšek
Mikoláš Janota
290
7
0
27 Aug 2024
Demystifying Higher-Order Graph Neural Networks
Demystifying Higher-Order Graph Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Maciej Besta
Florian Scheidl
Lukas Gianinazzi
Grzegorz Kwa'sniewski
S. Klaiman
Jürgen Müller
Torsten Hoefler
593
7
0
18 Jun 2024
Interpretable Multimodal Out-of-context Detection with Soft Logic
  Regularization
Interpretable Multimodal Out-of-context Detection with Soft Logic RegularizationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Huanhuan Ma
Jinghao Zhang
Qiang Liu
Shu Wu
Liang Wang
299
3
0
07 Jun 2024
Safeguarding Large Language Models: A Survey
Safeguarding Large Language Models: A Survey
Yi Dong
Ronghui Mu
Yanghao Zhang
Siqi Sun
Tianle Zhang
...
Yi Qi
Jinwei Hu
Jie Meng
Saddek Bensalem
Xiaowei Huang
OffRLKELMAILaw
304
101
0
03 Jun 2024
stl2vec: Semantic and Interpretable Vector Representation of Temporal
  Logic
stl2vec: Semantic and Interpretable Vector Representation of Temporal LogicEuropean Conference on Artificial Intelligence (ECAI), 2024
Gaia Saveri
L. Nenzi
Luca Bortolussi
Jan Křetínský
205
5
0
23 May 2024
Using Domain Knowledge to Guide Dialog Structure Induction via Neural
  Probabilistic Soft Logic
Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic
Connor Pryor
Quan Yuan
J. Liu
Mehran Kazemi
Deepak Ramachandran
Tania Bedrax-Weiss
Lise Getoor
324
7
0
26 Mar 2024
Continuous Parallel Relaxation for Finding Diverse Solutions in Combinatorial Optimization Problems
Continuous Parallel Relaxation for Finding Diverse Solutions in Combinatorial Optimization Problems
Yuma Ichikawa
Hiroaki Iwashita
CLL
315
1
0
03 Feb 2024
Building Guardrails for Large Language Models
Building Guardrails for Large Language Models
Yizhen Dong
Ronghui Mu
Gao Jin
Yi Qi
Jinwei Hu
Xingyu Zhao
Jie Meng
Wenjie Ruan
Xiaowei Huang
OffRL
561
82
0
02 Feb 2024
SymbolicAI: A framework for logic-based approaches combining generative
  models and solvers
SymbolicAI: A framework for logic-based approaches combining generative models and solvers
Marius-Constantin Dinu
Claudiu Leoveanu-Condrei
Markus Holzleitner
Werner Zellinger
Sepp Hochreiter
386
19
0
01 Feb 2024
Convex and Bilevel Optimization for Neuro-Symbolic Inference and
  Learning
Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning
Charles Dickens
Changyu Gao
Connor Pryor
Stephen J. Wright
Lise Getoor
463
3
0
17 Jan 2024
Controlling Continuous Relaxation for Combinatorial Optimization
Controlling Continuous Relaxation for Combinatorial OptimizationNeural Information Processing Systems (NeurIPS), 2023
Yuma Ichikawa
482
16
0
29 Sep 2023
Neurosymbolic Reinforcement Learning and Planning: A Survey
Neurosymbolic Reinforcement Learning and Planning: A SurveyIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Kamal Acharya
Waleed Raza
Carlos Dourado
Alvaro Velasquez
Houbing Song
NAIOffRL
317
47
0
02 Sep 2023
Coupling Large Language Models with Logic Programming for Robust and
  General Reasoning from Text
Coupling Large Language Models with Logic Programming for Robust and General Reasoning from TextAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Zhun Yang
Adam Ishay
Joohyung Lee
LRMELM
318
87
0
15 Jul 2023
Sample-Efficient Learning of Novel Visual Concepts
Sample-Efficient Learning of Novel Visual Concepts
Sarthak Bhagat
Simon Stepputtis
Joseph Campbell
Katia Sycara
267
9
0
15 Jun 2023
Neurosymbolic AI and its Taxonomy: a survey
Neurosymbolic AI and its Taxonomy: a survey
Wandemberg Gibaut
Leonardo Pereira
Fabio Grassiotto
Alexandre Osorio
Eder Gadioli
Amparo Munoz
Sildolfo Gomes
Claudio dos Santos
NAIAI4CE
364
12
0
12 May 2023
Towards Invertible Semantic-Preserving Embeddings of Logical Formulae
Towards Invertible Semantic-Preserving Embeddings of Logical FormulaeInternational Workshop on Neural-Symbolic Learning and Reasoning (NeSy), 2023
Gaia Saveri
Luca Bortolussi
NAI
226
3
0
03 May 2023
Graph-based Knowledge Distillation: A survey and experimental evaluation
Graph-based Knowledge Distillation: A survey and experimental evaluation
Jing Liu
Tongya Zheng
Guanzheng Zhang
Qinfen Hao
264
15
0
27 Feb 2023
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey
Neurosymbolic AI for Reasoning over Knowledge Graphs: A SurveyIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
L. Delong
Ramon Fernández Mir
Jacques D. Fleuriot
NAI
652
36
0
14 Feb 2023
A Gaze into the Internal Logic of Graph Neural Networks, with Logic
A Gaze into the Internal Logic of Graph Neural Networks, with Logic
Paul Tarau
NAI
285
3
0
05 Aug 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency
  Analysis
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency AnalysisIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Maciej Besta
Torsten Hoefler
GNN
608
82
0
19 May 2022
Graph Neural Networks for Propositional Model Counting
Graph Neural Networks for Propositional Model CountingThe European Symposium on Artificial Neural Networks (ESANN), 2022
Gaia Saveri
Luca Bortolussi
NAILRM
172
3
0
09 May 2022
Can Graph Neural Networks Learn to Solve MaxSAT Problem?
Can Graph Neural Networks Learn to Solve MaxSAT Problem?
Minghao Liu
Fuqi Jia
Pei Huang
Fan Zhang
Yuchen Sun
Shaowei Cai
Feifei Ma
Jian Zhang
GNNNAIAI4CE
224
8
0
15 Nov 2021
Natlog: a Lightweight Logic Programming Language with a Neuro-symbolic
  Touch
Natlog: a Lightweight Logic Programming Language with a Neuro-symbolic Touch
Paul Tarau
NAI
193
9
0
17 Sep 2021
Techniques for Symbol Grounding with SATNet
Techniques for Symbol Grounding with SATNet
Sever Topan
David Rolnick
X. Si
NAI
258
30
0
16 Jun 2021
KANDINSKYPatterns -- An experimental exploration environment for Pattern
  Analysis and Machine Intelligence
KANDINSKYPatterns -- An experimental exploration environment for Pattern Analysis and Machine Intelligence
Andreas Holzinger
Anna Saranti
Heimo Mueller
357
11
0
28 Feb 2021
Combinatorial optimization and reasoning with graph neural networks
Combinatorial optimization and reasoning with graph neural networksInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Quentin Cappart
Didier Chételat
Elias Boutros Khalil
Andrea Lodi
Christopher Morris
Petar Velickovic
AI4CE
640
461
0
18 Feb 2021
Computing Graph Neural Networks: A Survey from Algorithms to
  Accelerators
Computing Graph Neural Networks: A Survey from Algorithms to AcceleratorsACM Computing Surveys (ACM CSUR), 2020
S. Abadal
Akshay Jain
Robert Guirado
Jorge López-Alonso
Eduard Alarcón
GNN
589
280
0
30 Sep 2020
Deep Learning for Abstract Argumentation Semantics
Deep Learning for Abstract Argumentation SemanticsInternational Joint Conference on Artificial Intelligence (IJCAI), 2020
Dennis Craandijk
Floris Bex
SSeg
305
35
0
15 Jul 2020
Beyond Graph Neural Networks with Lifted Relational Neural Networks
Beyond Graph Neural Networks with Lifted Relational Neural NetworksMachine-mediated learning (ML), 2020
Gustav Sourek
F. Železný
Ondrej Kuzelka
NAI
326
20
0
13 Jul 2020
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