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12/20/2022
LAMBADA: Backward Chaining for Automated Reasoning in Natural Language
Remarkable progress has been made on automated reasoning with knowledge ...
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10/12/2022
TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs
Recent years have witnessed much interest in temporal reasoning over kno...
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05/20/2022
Tackling Provably Hard Representative Selection via Graph Neural Networks
Representative selection (RS) is the problem of finding a small subset o...
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02/09/2021
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks
Graph neural networks (GNNs) work well when the graph structure is provi...
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04/28/2020
Out-of-Sample Representation Learning for Multi-Relational Graphs
Many important problems can be formulated as reasoning in multi-relation...
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07/11/2019
Time2Vec: Learning a Vector Representation of Time
Time is an important feature in many applications involving events that ...
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07/06/2019
Diachronic Embedding for Temporal Knowledge Graph Completion
Knowledge graphs (KGs) typically contain temporal facts indicating relat...
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05/27/2019
Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey
Graphs arise naturally in many real-world applications including social ...
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08/06/2018
Structure Learning for Relational Logistic Regression: An Ensemble Approach
We consider the problem of learning Relational Logistic Regression (RLR)...
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06/26/2018
Record Linkage to Match Customer Names: A Probabilistic Approach
Consider the following problem: given a database of records indexed by n...
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02/13/2018
SimplE Embedding for Link Prediction in Knowledge Graphs
The aim of knowledge graphs is to gather knowledge about the world and p...
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12/07/2017
RelNN: A Deep Neural Model for Relational Learning
Statistical relational AI (StarAI) aims at reasoning and learning in noi...
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07/25/2017
Comparing Aggregators for Relational Probabilistic Models
Relational probabilistic models have the challenge of aggregation, where...
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07/24/2017
Domain Recursion for Lifted Inference with Existential Quantifiers
In recent work, we proved that the domain recursion inference rule makes...
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10/26/2016
New Liftable Classes for First-Order Probabilistic Inference
Statistical relational models provide compact encodings of probabilistic...
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06/28/2016
A Learning Algorithm for Relational Logistic Regression: Preliminary Results
Relational logistic regression (RLR) is a representation of conditional ...
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06/14/2016
