research
∙
09/26/2020
QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings
We propose a simple and effective embedding model, named QuatRE, to lear...
share
research
∙
08/12/2020
Quaternion Graph Neural Networks
We consider reducing model parameters and moving beyond the Euclidean sp...
research
∙
06/22/2020
A Self-Attention Network based Node Embedding Model
Despite several signs of progress have been made recently, limited resea...
research
∙
11/12/2019
A Capsule Network-based Model for Learning Node Embeddings
In this paper, we focus on learning low-dimensional embeddings of entity...
research
∙
09/26/2019
Unsupervised Universal Self-Attention Network for Graph Classification
Existing graph embedding models often have weaknesses in exploiting grap...
research
∙
07/13/2019
Relational Memory-based Knowledge Graph Embedding
Knowledge graph embedding models often suffer from a limitation of remem...
research
∙
08/13/2018
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization
In this paper, we introduce an embedding model, named CapsE, exploring a...
research
∙
05/03/2018
Detection of Unknown Anomalies in Streaming Videos with Generative Energy-based Boltzmann Models
Abnormal event detection is one of the important objectives in research ...
research
∙
04/12/2018
A Capsule Network-based Embedding Model for Search Personalization
Search personalization aims to tailor search results to each specific us...
research
∙
12/06/2017
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network
We introduce a novel embedding method for knowledge base completion task...
research
∙
11/06/2017
KGAN: How to Break The Minimax Game in GAN
Generative Adversarial Networks (GANs) were intuitively and attractively...
research
∙
09/19/2017
Analogical-based Bayesian Optimization
Some real-world problems revolve to solve the optimization problem _x∈Xf...
research
∙
09/12/2017
Dual Discriminator Generative Adversarial Nets
We propose in this paper a novel approach to tackle the problem of mode ...
research
∙
08/18/2017
Statistical Latent Space Approach for Mixed Data Modelling and Applications
The analysis of mixed data has been raising challenges in statistics and...
research
∙
08/16/2017
Geometric Enclosing Networks
Training model to generate data has increasingly attracted research atte...
research
∙
08/08/2017
Multi-Generator Generative Adversarial Nets
We propose a new approach to train the Generative Adversarial Nets (GANs...
research
∙
04/22/2016
