Search Results - Fey, Matthias

Refine Results
  1. 1
    Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks

    Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks by Morris, Christopher, Ritzert, Martin, Fey, Matthias, Hamilton, William L., Lenssen, Jan Eric, Rattan, Gaurav, Grohe, Martin

    Get full text
    Items that cite this one
    Article
    Save to List
    Saved in:
  2. 2
    CP- and OCF-networks – a comparison

    CP- and OCF-networks – a comparison by Eichhorn, Christian, Fey, Matthias, Kern-Isberner, Gabriele

    Published in Fuzzy sets and systems
    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  3. 3
    Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks

    Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks by Fey, Matthias

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  4. 4
    The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs

    The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs by Morris, Christopher, Fey, Matthias, Kriege, Nils M

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  5. 5
    Fast Graph Representation Learning with PyTorch Geometric

    Fast Graph Representation Learning with PyTorch Geometric by Fey, Matthias, Lenssen, Jan Eric

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  6. 6
    PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning

    PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning by Hu, Weihua, Yuan, Yiwen, Zhang, Zecheng, Nitta, Akihiro, Cao, Kaidi, Vid Kocijan, Jinu Sunil, Leskovec, Jure, Fey, Matthias

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  7. 7
    From Similarity to Superiority: Channel Clustering for Time Series Forecasting

    From Similarity to Superiority: Channel Clustering for Time Series Forecasting by Chen, Jialin, Lenssen, Jan Eric, Feng, Aosong, Hu, Weihua, Fey, Matthias, Tassiulas, Leandros, Leskovec, Jure, Ying, Rex

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  8. 8
    Hierarchical Inter-Message Passing for Learning on Molecular Graphs

    Hierarchical Inter-Message Passing for Learning on Molecular Graphs by Fey, Matthias, Jan-Gin Yuen, Weichert, Frank

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  9. 9
    Adversarial Generation of Continuous Implicit Shape Representations

    Adversarial Generation of Continuous Implicit Shape Representations by Kleineberg, Marian, Fey, Matthias, Weichert, Frank

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  10. 10
    GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings

    GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings by Fey, Matthias, Lenssen, Jan E, Weichert, Frank, Leskovec, Jure

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  11. 11
    ContextGNN: Beyond Two-Tower Recommendation Systems

    ContextGNN: Beyond Two-Tower Recommendation Systems by Yuan, Yiwen, Zhang, Zecheng, He, Xinwei, Nitta, Akihiro, Hu, Weihua, Wang, Dong, Shah, Manan, Huang, Shenyang, Stojanovič, Blaž, Krumholz, Alan, Lenssen, Jan Eric, Leskovec, Jure, Fey, Matthias

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  12. 12
    Relational Deep Learning: Graph Representation Learning on Relational Databases

    Relational Deep Learning: Graph Representation Learning on Relational Databases by Fey, Matthias, Hu, Weihua, Huang, Kexin, Lenssen, Jan Eric, Rishabh Ranjan, Robinson, Joshua, Ying, Rex, You, Jiaxuan, Leskovec, Jure

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  13. 13
    Temporal Graph Benchmark for Machine Learning on Temporal Graphs

    Temporal Graph Benchmark for Machine Learning on Temporal Graphs by Huang, Shenyang, Poursafaei, Farimah, Danovitch, Jacob, Fey, Matthias, Hu, Weihua, Rossi, Emanuele, Leskovec, Jure, Bronstein, Michael, Rabusseau, Guillaume, Rabbany, Reihaneh

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  14. 14
    RelBench: A Benchmark for Deep Learning on Relational Databases

    RelBench: A Benchmark for Deep Learning on Relational Databases by Robinson, Joshua, Rishabh Ranjan, Hu, Weihua, Huang, Kexin, Han, Jiaqi, Dobles, Alejandro, Fey, Matthias, Lenssen, Jan E, Yuan, Yiwen, Zhang, Zecheng, He, Xinwei, Leskovec, Jure

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  15. 15
    Weisfeiler and Leman go Machine Learning: The Story so far

    Weisfeiler and Leman go Machine Learning: The Story so far by Morris, Christopher, Lipman, Yaron, Maron, Haggai, Rieck, Bastian, Kriege, Nils M, Grohe, Martin, Fey, Matthias, Borgwardt, Karsten

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  16. 16
    Group Equivariant Capsule Networks

    Group Equivariant Capsule Networks by Lenssen, Jan Eric, Fey, Matthias, Libuschewski, Pascal

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  17. 17
    Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks

    Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks by Morris, Christopher, Ritzert, Martin, Fey, Matthias, Hamilton, William L, Lenssen, Jan Eric, Rattan, Gaurav, Grohe, Martin

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  18. 18
    OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

    OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs by Hu, Weihua, Fey, Matthias, Ren, Hongyu, Nakata, Maho, Dong, Yuxiao, Leskovec, Jure

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  19. 19
    Open Graph Benchmark: Datasets for Machine Learning on Graphs

    Open Graph Benchmark: Datasets for Machine Learning on Graphs by Hu, Weihua, Fey, Matthias, Zitnik, Marinka, Dong, Yuxiao, Ren, Hongyu, Bowen, Liu, Catasta, Michele, Leskovec, Jure

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  20. 20
    SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels

    SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels by Fey, Matthias, Lenssen, Jan Eric, Weichert, Frank, Müller, Heinrich

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

Search Tools: