Accepted Papers

    Learning over Knowledge Graphs

    1. Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs (spotlight paper)
    Hongyu Ren; Hanjun Dai; Bo Dai; Xinyun Chen; Jure Leskovec; Denny Zhou [Paper][Poster]
    2. Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation (spotlight paper)
    Mrigank Raman; Siddhant Agarwal; Peifeng Wang; Xiang Ren [Paper]
    3. Relation-weighted link prediction for disease gene identification
    Srivamshi Pittala; William Koehler; Jonathan Deans; Daniel Salinas; Martin Bringmann; Katharina Volz; Berk Kapicioglu [Paper][Poster]
    4. MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning
    Lu Zhang; Mo Yu; Tian Gao; Yue Yu [Paper][Poster]
    5. An Architecture For Relational Learning Through Iterative Search Over Hypothesis Space
    Osama F Rama; Alessandra Russo; Krysia Broda [Paper][Poster]

    KRR for Reinforcement Learning

    6. Symbolic Plans as High-Level Instructions for Reinforcement Learning (Abridged) (spotlight paper, best paper award)
    Leon Illanes; Xi Yan; Rodrigo Toro Icarte; Sheila A. McIlraith [Paper][Poster]
    7. Graph Embedding Priors for Multi-task DeepReinforcement Learning
    Neev Parikh; Naveen Srinivasan; Zachary Horvitz; Aansh Shah; George Konidaris [Paper][Poster]
    8. Learning Symbolic Representations for Reinforcement Learning of Non-Markovian Behavior
    Phillip JK Christoffersen; Andrew C Li; Rodrigo A Toro Icarte; Sheila A. McIlraith [Paper][Poster]

    Learning Symbolic Knowledge Representations

    9. Generating Negative Commonsense Knowledge
    Tara L Safavi; Danai Koutra [Paper][Poster]
    10. Learning Contextualized Knowledge Structures for Commonsense Reasoning
    Jun Yan; Mrigank Raman; Tianyu Zhang; Ryan A. Rossi; Handong Zhao; Sungchul Kim; Nedim Lipka; Xiang Ren [Paper][Poster]
    11. Learning Implicitly with Noisy Data in Linear Arithmetic
    Alexander P Rader; Ionela G Mocanu; Vaishak Belle; Brendan Juba [Paper][Poster]
    12. A Seq2Seq approach to Symbolic Regression
    Luca Biggio; Tommaso Bendinelli [Paper][Poster]
    19. Neural Concept Formation in Knowledge Graphs
    Agnieszka Dobrowolska; Antonio Vergari; Pasquale Minervini [Paper][Poster]

    Relation Extraction

    13. Biomedical Information Extraction for Disease Gene Prioritization
    Jupinder Parmar; William Koehler; Martin Bringmann; Katharina Volz; Berk Kapicioglu [Paper][Poster]
    14. Re-TACRED: A New Relation Extraction Dataset
    George I Stoica; Emmanouil Antonios Platanios; Barnabas Poczos [Paper][Poster]
    15. Knowledge Graph Enhanced Relation Extraction
    George I Stoica; Emmanouil Antonios Platanios; Barnabas Poczos [Paper][Poster]

    New Architectures

    16. LRTA: A Transparent Neural-Symbolic Reasoning Framework with Modular Supervision for Visual Question Answering
    Weixin Liang; Feiyang Niu; Aishwarya Reganti; Govind Thattai; Gokhan Tur [Paper][Poster]
    17. Neural Abstract Reasoner
    Victor Kolev; Bogdan M Georgiev; Svetlin Penkov [Paper][Poster]
    18. Neuro#: A Distribution Tailored Model Counter
    Pashootan Vaezipoor; Gil Lederman; Yuhuai Wu; Chris Maddison; Roger B Grosse; Sanjit Seshia; Fahiem Bacchus [Paper][Poster]
    20. Interpretable Sequence Classification via Discrete Optimization (Abridged Report)
    Maayan Shvo; Andrew Li; Rodrigo Toro Icarte; Sheila A. McIlraith [Paper][Poster]