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1910.13445
Cited By
G2SAT: Learning to Generate SAT Formulas
29 October 2019
Jiaxuan You
Haoze Wu
Clark W. Barrett
R. Ramanujan
J. Leskovec
NAI
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Papers citing
"G2SAT: Learning to Generate SAT Formulas"
11 / 11 papers shown
Title
Unrealized Expectations: Comparing AI Methods vs Classical Algorithms for Maximum Independent Set
Yikai Wu
Haoyu Zhao
Sanjeev Arora
77
0
0
05 Feb 2025
Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networks
Runzhong Wang
Yang Li
Junchi Yan
Xiaokang Yang
AI4CE
37
0
0
06 Sep 2024
Lightweight Online Learning for Sets of Related Problems in Automated Reasoning
Haoze Wu
Christopher Hahn
Florian Lonsing
Makai Mann
R. Ramanujan
Clark W. Barrett
OffRL
LRM
26
1
0
18 May 2023
HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline
Y. Li
Xinyan Chen
Wenxuan Guo
Xijun Li
Wanqian Luo
Jun Huang
Hui-Ling Zhen
M. Yuan
Junchi Yan
19
17
0
04 Feb 2023
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
23
113
0
16 Dec 2020
Design Space for Graph Neural Networks
Jiaxuan You
Rex Ying
J. Leskovec
GNN
AI4CE
17
315
0
17 Nov 2020
A Systematic Survey on Deep Generative Models for Graph Generation
Xiaojie Guo
Liang Zhao
MedIm
31
145
0
13 Jul 2020
Graph Structure of Neural Networks
Jiaxuan You
J. Leskovec
Kaiming He
Saining Xie
GNN
19
136
0
13 Jul 2020
Can Graph Neural Networks Count Substructures?
Zhengdao Chen
Lei Chen
Soledad Villar
Joan Bruna
GNN
37
319
0
10 Feb 2020
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
189
885
0
07 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
219
1,332
0
12 Feb 2018
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