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Poster
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TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs
Siheng Xiong · Yuan Yang · Faramarz Fekri · James Kerce
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Poster
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Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning
Chi Han · Qizheng He · Charles Yu · Xinya Du · Hanghang Tong · Heng Ji
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Poster
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Neural Compositional Rule Learning for Knowledge Graph Reasoning
Kewei Cheng · Nesreen Ahmed · Yizhou Sun
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Poster
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LogicDP: Creating Labels for Graph Data via Inductive Logic Programming
Yuan Yang · Faramarz Fekri · James Kerce · Ali Payani
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Poster
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Mon 7:30
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Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
Antonia Creswell · Murray Shanahan · Irina Higgins
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Oral
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Mon 7:10
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Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
Antonia Creswell · Murray Shanahan · Irina Higgins
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Poster
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Logical Message Passing Networks with One-hop Inference on Atomic Formulas
Zihao Wang · Yangqiu Song · Ginny Wong · Simon See
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Workshop
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[Remote Poster] VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
Eleonora Misino · Giuseppe Marra · Emanuele Sansone
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Poster
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Learning Language Representations with Logical Inductive Bias
Jianshu Chen
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Poster
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Can Neural Networks Learn Implicit Logic from Physical Reasoning?
Aaron Traylor · Roman Feiman · Ellie Pavlick
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Poster
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Critic Sequential Monte Carlo
Vasileios Lioutas · Jonathan Lavington · Justice Sefas · Matthew Niedoba · Yunpeng Liu · Berend Zwartsenberg · Setareh Dabiri · Frank Wood · Adam Scibior
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Poster
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Mon 7:30
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Global Explainability of GNNs via Logic Combination of Learned Concepts
Steve Azzolin · Antonio Longa · Pietro Barbiero · Pietro Lio · Andrea Passerini
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