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Graph Neural Reasoning for 2-Quantified Boolean Formula Solvers

Graph Neural Reasoning for 2-Quantified Boolean Formula Solvers

27 April 2019
Zhanfu Yang
Fei Wang
Ziliang Chen
Guannan Wei
Tiark Rompf
    NAIGNN
ArXiv (abs)PDFHTML

Papers citing "Graph Neural Reasoning for 2-Quantified Boolean Formula Solvers"

6 / 6 papers shown
OCTAL: Graph Representation Learning for LTL Model Checking
OCTAL: Graph Representation Learning for LTL Model Checking
Prasita Mukherjee
Haoteng Yin
Susheel Suresh
Tiark Rompf
200
4
0
24 Jul 2022
Enhancing SAT solvers with glue variable predictions
Enhancing SAT solvers with glue variable predictions
Jesse Michael Han
NAIAAML
149
18
0
06 Jul 2020
Bidirectional Graph Reasoning Network for Panoptic Segmentation
Bidirectional Graph Reasoning Network for Panoptic SegmentationComputer Vision and Pattern Recognition (CVPR), 2020
Yangxin Wu
Gengwei Zhang
Yiming Gao
Xiajun Deng
Ke Gong
Xiaodan Liang
Liang Lin
191
59
0
14 Apr 2020
From Shallow to Deep Interactions Between Knowledge Representation,
  Reasoning and Machine Learning (Kay R. Amel group)
From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group)
Zied Bouraoui
Antoine Cornuéjols
Thierry Denoeux
Sebastien Destercke
Didier Dubois
...
Jérôme Mengin
H. Prade
Steven Schockaert
M. Serrurier
Christel Vrain
272
14
0
13 Dec 2019
Graph Neural Reasoning May Fail in Certifying Boolean Unsatisfiability
Graph Neural Reasoning May Fail in Certifying Boolean Unsatisfiability
Ziliang Chen
Zhanfu Yang
NAIAI4CE
174
5
0
25 Sep 2019
Learning Heuristics for Quantified Boolean Formulas through Deep
  Reinforcement Learning
Learning Heuristics for Quantified Boolean Formulas through Deep Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2018
Gil Lederman
M. Rabe
Edward A. Lee
Sanjit A. Seshia
271
38
0
20 Jul 2018
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