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Graph Representations for Higher-Order Logic and Theorem Proving
v1v2 (latest)

Graph Representations for Higher-Order Logic and Theorem Proving

24 May 2019
Aditya Sanjay Paliwal
Sarah M. Loos
M. Rabe
Kshitij Bansal
Christian Szegedy
    AI4CENoLa
ArXiv (abs)PDFHTML

Papers citing "Graph Representations for Higher-Order Logic and Theorem Proving"

25 / 25 papers shown
Title
Activation Steering in Neural Theorem Provers
Activation Steering in Neural Theorem Provers
Shashank Kirtania
LLMSV
472
0
0
21 Feb 2025
Rango: Adaptive Retrieval-Augmented Proving for Automated Software Verification
Rango: Adaptive Retrieval-Augmented Proving for Automated Software Verification
Kyle Thompson
Nuno Saavedra
Pedro Carrott
Kevin Fisher
Alex Sanchez-Stern
Yuriy Brun
J. Ferreira
Sorin Lerner
E. First
LRM
175
4
0
18 Dec 2024
Can Transformers Do Enumerative Geometry?
Can Transformers Do Enumerative Geometry?
Baran Hashemi
Roderic G. Corominas
Alessandro Giacchetto
519
5
0
27 Aug 2024
Superposition for Lambda-Free Higher-Order Logic
Superposition for Lambda-Free Higher-Order Logic
Alexander Bentkamp
J. Blanchette
Simon Cruanes
Uwe Waldmann
78
37
0
05 May 2020
Learning to Prove Theorems via Interacting with Proof Assistants
Learning to Prove Theorems via Interacting with Proof Assistants
Kaiyu Yang
Jia Deng
AIMatLRM
110
146
0
21 May 2019
Neural Logic Machines
Neural Logic Machines
Honghua Dong
Jiayuan Mao
Tian Lin
Chong-Jun Wang
Lihong Li
Denny Zhou
NAILRMAI4CE
134
250
0
26 Apr 2019
HOList: An Environment for Machine Learning of Higher-Order Theorem
  Proving
HOList: An Environment for Machine Learning of Higher-Order Theorem Proving
Kshitij Bansal
Sarah M. Loos
M. Rabe
Christian Szegedy
S. Wilcox
AIMat
67
51
0
05 Apr 2019
Guiding High-Performance SAT Solvers with Unsat-Core Predictions
Guiding High-Performance SAT Solvers with Unsat-Core Predictions
Daniel Selsam
Nikolaj S. Bjørner
NAI
62
121
0
12 Mar 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaMLGNNAI4TSAI4CE
780
8,554
0
03 Jan 2019
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
243
7,681
0
01 Oct 2018
Learning Heuristics for Quantified Boolean Formulas through Deep
  Reinforcement Learning
Learning Heuristics for Quantified Boolean Formulas through Deep Reinforcement Learning
Gil Lederman
M. Rabe
Edward A. Lee
Sanjit A. Seshia
68
38
0
20 Jul 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CENAI
764
3,129
0
04 Jun 2018
GamePad: A Learning Environment for Theorem Proving
GamePad: A Learning Environment for Theorem Proving
Daniel Huang
Prafulla Dhariwal
Basel Alomair
Ilya Sutskever
96
110
0
02 Jun 2018
Learning to Reason with HOL4 tactics
Learning to Reason with HOL4 tactics
Thibault Gauthier
C. Kaliszyk
Josef Urban
64
77
0
02 Apr 2018
Can Neural Networks Understand Logical Entailment?
Can Neural Networks Understand Logical Entailment?
Richard Evans
D. Saxton
David Amos
Pushmeet Kohli
Edward Grefenstette
NAI
174
128
0
23 Feb 2018
Premise Selection for Theorem Proving by Deep Graph Embedding
Premise Selection for Theorem Proving by Deep Graph Embedding
Mingzhe Wang
Yihe Tang
Jian Wang
Jia Deng
66
133
0
28 Sep 2017
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic
  Forecasting
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
Yaguang Li
Rose Yu
Cyrus Shahabi
Yan Liu
GNNDiffMAI4TS
99
100
0
06 Jul 2017
A simple neural network module for relational reasoning
A simple neural network module for relational reasoning
Adam Santoro
David Raposo
David Barrett
Mateusz Malinowski
Razvan Pascanu
Peter W. Battaglia
Timothy Lillicrap
GNNNAI
189
1,615
0
05 Jun 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
596
7,485
0
04 Apr 2017
Discovering objects and their relations from entangled scene
  representations
Discovering objects and their relations from entangled scene representations
David Raposo
Adam Santoro
David Barrett
Razvan Pascanu
Timothy Lillicrap
Peter W. Battaglia
GNNOCL
76
71
0
16 Feb 2017
Deep Network Guided Proof Search
Deep Network Guided Proof Search
Sarah M. Loos
G. Irving
Christian Szegedy
C. Kaliszyk
AIMat
76
159
0
24 Jan 2017
Scalable Learning of Non-Decomposable Objectives
Scalable Learning of Non-Decomposable Objectives
Elad Eban
Mariano Schain
Alan Mackey
A. Gordon
R. Rifkin
G. Elidan
36
110
0
16 Aug 2016
Gated Graph Sequence Neural Networks
Gated Graph Sequence Neural Networks
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
GNN
347
3,285
0
17 Nov 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,260
0
22 Dec 2014
Learning-Assisted Automated Reasoning with Flyspeck
Learning-Assisted Automated Reasoning with Flyspeck
C. Kaliszyk
Josef Urban
LRM
86
162
0
29 Nov 2012
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