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1905.10006
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Graph Representations for Higher-Order Logic and Theorem Proving
24 May 2019
Aditya Sanjay Paliwal
Sarah M. Loos
M. Rabe
Kshitij Bansal
Christian Szegedy
AI4CE
NoLa
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Papers citing
"Graph Representations for Higher-Order Logic and Theorem Proving"
25 / 25 papers shown
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Superposition for Lambda-Free Higher-Order Logic
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Learning to Prove Theorems via Interacting with Proof Assistants
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Jia Deng
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Neural Logic Machines
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Jiayuan Mao
Tian Lin
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Lihong Li
Denny Zhou
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26 Apr 2019
HOList: An Environment for Machine Learning of Higher-Order Theorem Proving
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Guiding High-Performance SAT Solvers with Unsat-Core Predictions
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12 Mar 2019
A Comprehensive Survey on Graph Neural Networks
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How Powerful are Graph Neural Networks?
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Learning Heuristics for Quantified Boolean Formulas through Deep Reinforcement Learning
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Relational inductive biases, deep learning, and graph networks
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Oriol Vinyals
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04 Jun 2018
GamePad: A Learning Environment for Theorem Proving
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Learning to Reason with HOL4 tactics
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Can Neural Networks Understand Logical Entailment?
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D. Saxton
David Amos
Pushmeet Kohli
Edward Grefenstette
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174
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23 Feb 2018
Premise Selection for Theorem Proving by Deep Graph Embedding
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Yihe Tang
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28 Sep 2017
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
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Rose Yu
Cyrus Shahabi
Yan Liu
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A simple neural network module for relational reasoning
Adam Santoro
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Mateusz Malinowski
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Timothy Lillicrap
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Discovering objects and their relations from entangled scene representations
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David Barrett
Razvan Pascanu
Timothy Lillicrap
Peter W. Battaglia
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16 Feb 2017
Deep Network Guided Proof Search
Sarah M. Loos
G. Irving
Christian Szegedy
C. Kaliszyk
AIMat
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Scalable Learning of Non-Decomposable Objectives
Elad Eban
Mariano Schain
Alan Mackey
A. Gordon
R. Rifkin
G. Elidan
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Gated Graph Sequence Neural Networks
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