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Programming with Personalized PageRank: A Locally Groundable First-Order
  Probabilistic Logic

Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic

10 May 2013
William Yang Wang
Kathryn Mazaitis
William W. Cohen
    LRM
ArXiv (abs)PDFHTML

Papers citing "Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic"

16 / 16 papers shown
Title
Techniques for Measuring the Inferential Strength of Forgetting Policies
Techniques for Measuring the Inferential Strength of Forgetting Policies
Patrick Doherty
A. Szałas
124
1
0
21 Feb 2025
Explicit Planning Helps Language Models in Logical Reasoning
Explicit Planning Helps Language Models in Logical Reasoning
Hongyu Zhao
Kangrui Wang
Mo Yu
Hongyuan Mei
LRMReLM
125
17
0
28 Mar 2023
Knowledge Graph Reasoning with Logics and Embeddings: Survey and
  Perspective
Knowledge Graph Reasoning with Logics and Embeddings: Survey and Perspective
Wen Zhang
Jiaoyan Chen
Juan Li
Zezhong Xu
Jeff Z. Pan
Huajun Chen
80
30
0
15 Feb 2022
Modeling Content and Context with Deep Relational Learning
Modeling Content and Context with Deep Relational Learning
Maria Leonor Pacheco
Dan Goldwasser
NAI
105
34
0
20 Oct 2020
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs
Jing Zhang
Bo Chen
Lingxi Zhang
Xirui Ke
Haipeng Ding
NAI
112
3
0
12 Oct 2020
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
Meng Qu
Junkun Chen
Louis-Pascal Xhonneux
Yoshua Bengio
Jian Tang
NAILRMAI4CE
112
174
0
08 Oct 2020
Learning Credal Sum-Product Networks
Learning Credal Sum-Product Networks
Amélie Levray
Vaishak Belle
TPM
85
0
0
17 Jan 2019
Semi-Supervised Learning with Declaratively Specified Entropy
  Constraints
Semi-Supervised Learning with Declaratively Specified Entropy Constraints
Haitian Sun
William W. Cohen
Lidong Bing
62
5
0
24 Apr 2018
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in
  Knowledge Bases using Reinforcement Learning
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning
Rajarshi Das
Shehzaad Dhuliawala
Manzil Zaheer
Luke Vilnis
Ishan Durugkar
A. Krishnamurthy
Alex Smola
Andrew McCallum
KELM
109
513
0
15 Nov 2017
TensorLog: Deep Learning Meets Probabilistic DBs
TensorLog: Deep Learning Meets Probabilistic DBs
William W. Cohen
Fan Yang
Kathryn Mazaitis
NAI
84
41
0
17 Jul 2017
Explainable Entity-based Recommendations with Knowledge Graphs
Explainable Entity-based Recommendations with Knowledge Graphs
R. Catherine
Kathryn Mazaitis
M. Eskénazi
William W. Cohen
40
52
0
12 Jul 2017
Using Graphs of Classifiers to Impose Declarative Constraints on
  Semi-supervised Learning
Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning
Lidong Bing
William W. Cohen
Bhuwan Dhingra
32
2
0
05 Mar 2017
Differentiable Learning of Logical Rules for Knowledge Base Reasoning
Differentiable Learning of Logical Rules for Knowledge Base Reasoning
Fan Yang
Zhilin Yang
William W. Cohen
111
31
0
27 Feb 2017
TensorLog: A Differentiable Deductive Database
TensorLog: A Differentiable Deductive Database
William W. Cohen
102
123
0
20 May 2016
Learning multi-faceted representations of individuals from heterogeneous
  evidence using neural networks
Learning multi-faceted representations of individuals from heterogeneous evidence using neural networks
Jiwei Li
Alan Ritter
Dan Jurafsky
162
35
0
18 Oct 2015
Efficient Inference and Learning in a Large Knowledge Base: Reasoning
  with Extracted Information using a Locally Groundable First-Order
  Probabilistic Logic
Efficient Inference and Learning in a Large Knowledge Base: Reasoning with Extracted Information using a Locally Groundable First-Order Probabilistic Logic
William Yang Wang
Kathryn Mazaitis
Ni Lao
Tom Michael Mitchell
William W. Cohen
LRM
62
48
0
12 Apr 2014
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