Binder: Hierarchical Concept Representation through Order Embedding of Binary Vectors

16 April 2024

Papers citing "Binder: Hierarchical Concept Representation through Order Embedding of Binary Vectors"

9 / 9 papers shown

Title
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs Lingbing Guo Zequn Sun Wei Hu 66 266 0 13 May 2019
What relations are reliably embeddable in Euclidean space? Robi Bhattacharjee S. Dasgupta 53 6 0 13 Mar 2019
Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry Maximilian Nickel Douwe Kiela 45 460 0 09 Jun 2018
Hyperbolic Entailment Cones for Learning Hierarchical Embeddings O. Ganea Gary Bécigneul Thomas Hofmann 137 273 0 03 Apr 2018
Modeling Relational Data with Graph Convolutional Networks Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 178 4,807 0 17 Mar 2017
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 183 10,856 0 03 Jul 2016
Deep Visual-Semantic Alignments for Generating Image Descriptions A. Karpathy Li Fei-Fei 93 5,578 0 07 Dec 2014
Show and Tell: A Neural Image Caption Generator Oriol Vinyals Alexander Toshev Samy Bengio D. Erhan 3DV 215 6,018 0 17 Nov 2014
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 252 9,769 0 26 Mar 2014