<scp>Binder:</scp> Hierarchical Concept Representation through Order Embedding of Binary Vectors-Reference-Cited by-同舟云学术

Binder: Hierarchical Concept Representation through Order Embedding of Binary Vectors

Published:2024-08-24 Issue: Volume:34 Page:980-991
ISSN:
Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Gyurek Croix¹^ORCID,Talukder Niloy²^ORCID,Hasan Mohammad Al²^ORCID

Affiliation:

1. University of Waterloo, Waterloo, Ontario, Canada

2. Indiana University at Indianapolis, Indianapolis, IN, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3671793

Reference45 articles.

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2. Combining Constraint Programming and Local Search for Job-Shop Scheduling

3. Robi Bhattacharjee and Sanjoy Dasgupta. 2023. What relations are reliably embeddable in Euclidean space? https://doi.org/10.48550/arXiv.1903.05347 arXiv:1903.05347 [cs stat].

4. Michael Boratko, Dongxu Zhang, Nicholas Monath, Luke Vilnis, Kenneth L Clarkson, and Andrew McCallum. 2021. Capacity and Bias of Learned Geometric Embeddings for Directed Graphs. In Advances in Neural Information Processing Systems, Vol. 34. Curran Associates, Inc., 16423--16436. https://proceedings.neurips.cc/paper/2021/hash/88d25099b103efd638163ecb40a55589-Abstract.html

5. Antoine Bordes, Nicolas Usunier, Alberto Garcia-Durán, Jason Weston, and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In Proceedings of the 26th International Conference on Neural Information Processing Systems - Volume 2 (NIPS'13). Curran Associates Inc., Red Hook, NY, USA, 2787--2795.