Search Results - Seyed Mehran Kazemi

Refine Results
  1. 1
    Bridging Weighted Rules and Graph Random Walks for Statistical Relational Models

    Bridging Weighted Rules and Graph Random Walks for Statistical Relational Models by Kazemi, Seyed Mehran, Poole, David

    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  2. 2
    RelNN: A Deep Neural Model for Relational Learning

    RelNN: A Deep Neural Model for Relational Learning by Kazemi, Seyed Mehran, Poole, David

    Get full text
    Items that cite this one
    Article
    Save to List
    Saved in:
  3. 3
    Diachronic Embedding for Temporal Knowledge Graph Completion

    Diachronic Embedding for Temporal Knowledge Graph Completion by Goel, Rishab, Kazemi, Seyed Mehran, Brubaker, Marcus, Poupart, Pascal

    Get full text
    Items that cite this one
    Article
    Save to List
    Saved in:
  4. 4
    Structure learning for relational logistic regression: an ensemble approach

    Structure learning for relational logistic regression: an ensemble approach by Ramanan, Nandini, Kunapuli, Gautam, Khot, Tushar, Fatemi, Bahare, Kazemi, Seyed Mehran, Poole, David, Kersting, Kristian, Natarajan, Sriraam

    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  5. 5
    Out-of-Sample Representation Learning for Multi-Relational Graphs

    Out-of-Sample Representation Learning for Multi-Relational Graphs by Albooyeh, Marjan, Goel, Rishab, Seyed Mehran Kazemi

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  6. 6
    Transformers Struggle to Learn to Search

    Transformers Struggle to Learn to Search by Saparov, Abulhair, Pawar, Srushti, Pimpalgaonkar, Shreyas, Joshi, Nitish, Pang, Richard Yuanzhe, Padmakumar, Vishakh, Seyed Mehran Kazemi, Kim, Najoung, He, He

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  7. 7
    SimplE Embedding for Link Prediction in Knowledge Graphs

    SimplE Embedding for Link Prediction in Knowledge Graphs by Seyed Mehran Kazemi, Poole, David

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  8. 8
    Elimination Ordering in Lifted First-Order Probabilistic Inference

    Elimination Ordering in Lifted First-Order Probabilistic Inference by Kazemi, Seyed Mehran, Poole, David

    Get full text
    Conference Proceeding
    Save to List
    Saved in:
  9. 9
    Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples

    Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples by Saparov, Abulhair, Pang, Richard Yuanzhe, Padmakumar, Vishakh, Joshi, Nitish, Seyed Mehran Kazemi, Kim, Najoung, He, He

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  10. 10
    SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks

    SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks by Fatemi, Bahare, Layla El Asri, Seyed Mehran Kazemi

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  11. 11
    RelNN: A Deep Neural Model for Relational Learning

    RelNN: A Deep Neural Model for Relational Learning by Seyed Mehran Kazemi, Poole, David

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  12. 12
    TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs

    TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs by Sharma, Aditya, Saxena, Apoorv, Gupta, Chitrank, Seyed Mehran Kazemi, Talukdar, Partha, Chakrabarti, Soumen

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  13. 13
    Record Linkage to Match Customer Names: A Probabilistic Approach

    Record Linkage to Match Customer Names: A Probabilistic Approach by Fatemi, Bahare, Seyed Mehran Kazemi, Poole, David

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  14. 14
    Why is Compiling Lifted Inference into a Low-Level Language so Effective?

    Why is Compiling Lifted Inference into a Low-Level Language so Effective? by Seyed Mehran Kazemi, Poole, David

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  15. 15
    Diachronic Embedding for Temporal Knowledge Graph Completion

    Diachronic Embedding for Temporal Knowledge Graph Completion by Goel, Rishab, Seyed Mehran Kazemi, Brubaker, Marcus, Poupart, Pascal

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  16. 16
    Representation Learning for Dynamic Graphs: A Survey

    Representation Learning for Dynamic Graphs: A Survey by Seyed Mehran Kazemi, Goel, Rishab, Jain, Kshitij, Kobyzev, Ivan, Sethi, Akshay, syth, Peter, Poupart, Pascal

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  17. 17
    A Learning Algorithm for Relational Logistic Regression: Preliminary Results

    A Learning Algorithm for Relational Logistic Regression: Preliminary Results by Fatemi, Bahare, Seyed Mehran Kazemi, Poole, David

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  18. 18
    Structure Learning for Relational Logistic Regression: An Ensemble Approach

    Structure Learning for Relational Logistic Regression: An Ensemble Approach by Ramanan, Nandini, Kunapuli, Gautam, Khot, Tushar, Fatemi, Bahare, Seyed Mehran Kazemi, Poole, David, Kersting, Kristian, Natarajan, Sriraam

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  19. 19
    Domain Recursion for Lifted Inference with Existential Quantifiers

    Domain Recursion for Lifted Inference with Existential Quantifiers by Seyed Mehran Kazemi, Kimmig, Angelika, Van den Broeck, Guy, Poole, David

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  20. 20
    Time2Vec: Learning a Vector Representation of Time

    Time2Vec: Learning a Vector Representation of Time by Seyed Mehran Kazemi, Goel, Rishab, Eghbali, Sepehr, Ramanan, Janahan, Sahota, Jaspreet, Thakur, Sanjay, Wu, Stella, Smyth, Cathal, Poupart, Pascal, Brubaker, Marcus

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:

Search Tools: