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04/22/2020
TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs
Learning knowledge graph (KG) embeddings has received increasing attenti...
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03/18/2020
Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study
In the active research area of employing embedding models for knowledge ...
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03/17/2020
3D Dynamic Point Cloud Denoising via Spatial-Temporal Graph Learning
The prevalence of accessible depth sensing and 3D laser scanning techniq...
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03/10/2020
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs
Entity alignment seeks to find entities in different knowledge graphs (K...
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02/21/2020
Crowdsourced Collective Entity Resolution with Relational Match Propagation
Knowledge bases (KBs) store rich yet heterogeneous entities and facts. E...
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02/15/2020
Open Knowledge Enrichment for Long-tail Entities
Knowledge bases (KBs) have gradually become a valuable asset for many AI...
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01/28/2020
Fast Graph Metric Learning via Gershgorin Disc Alignment
We propose a fast general projection-free metric learning framework, whe...
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12/04/2019
GraphPoseGAN: 3D Hand Pose Estimation from a Monocular RGB Image via Adversarial Learning on Graphs
This paper addresses the problem of 3D hand pose estimation from a monoc...
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11/20/2019
Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation
Graph neural networks (GNNs) have emerged as a powerful paradigm for emb...
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11/19/2019
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations
Recent advances in Graph Convolutional Neural Networks (GCNNs) have show...
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09/11/2019
Joint Learning of Graph Representation and Node Features in Graph Convolutional Neural Networks
Graph Convolutional Neural Networks (GCNNs) extend classical CNNs to gra...
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08/29/2019
Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering
Formal query generation aims to generate correct executable queries for ...
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08/06/2019
Predictive Generalized Graph Fourier Transform for Attribute Compression of Dynamic Point Clouds
As 3D scanning devices and depth sensors advance, dynamic point clouds h...
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07/22/2019
Feature Graph Learning for 3D Point Cloud Denoising
Identifying an appropriate underlying graph kernel that reflects pairwis...
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06/06/2019
Multi-view Knowledge Graph Embedding for Entity Alignment
We study the problem of embedding-based entity alignment between knowled...
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05/13/2019
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs
We study the problem of knowledge graph (KG) embedding. A widely-establi...
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04/28/2019
3D Dynamic Point Cloud Denoising via Spatio-temporal Graph Modeling
The prevalence of accessible depth sensing and 3D laser scanning techniq...
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04/23/2019
Graph-based Inpainting for 3D Dynamic Point Clouds
With the development of depth sensors and 3D laser scanning techniques, ...
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04/23/2019
Exploring Graph Learning for Semi-Supervised Classification Beyond Euclidean Data
Semi-supervised classification on graph-structured data has received inc...
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03/31/2019
Nonparametric Matrix Response Regression with Application to Brain Imaging Data Analysis
With the rapid growth of neuroimaging technologies, a great effort has b...
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03/25/2019
Noise-Tolerant Paradigm for Training Face Recognition CNNs
Benefit from large-scale training datasets, deep Convolutional Neural Ne...
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12/29/2018
Feature Preserving and Uniformity-controllable Point Cloud Simplification on Graph
With the development of 3D sensing technologies, point clouds have attra...
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11/29/2018
Generalized Graph Convolutional Networks for Skeleton-based Action Recognition
With the prevalence of accessible depth sensors, dynamic human body skel...
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11/28/2018
Exploring Hypergraph Representation on Face Anti-spoofing Beyond 2D Attacks
Face anti-spoofing plays a crucial role in protecting face recognition s...
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11/06/2018
Recurrent Skipping Networks for Entity Alignment
We consider the problem of learning knowledge graph (KG) embeddings for ...
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10/30/2018
DSKG: A Deep Sequential Model for Knowledge Graph Completion
Knowledge graph (KG) completion aims to fill the missing facts in a KG, ...
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09/28/2018
Local Frequency Interpretation and Non-Local Self-Similarity on Graph for Point Cloud Inpainting
As 3D scanning devices and depth sensors mature, point clouds have attra...
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09/24/2018
Matrix Linear Discriminant Analysis
We propose a novel linear discriminant analysis approach for the classif...
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06/08/2018
RGCNN: Regularized Graph CNN for Point Cloud Segmentation
Point cloud, an efficient 3D object representation, has become popular w...
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04/29/2018
TreeSegNet: Automatically Constructed Tree CNNs for Subdecimeter Aerial Image Segmentation
For the task of subdecimeter aerial imagery segmentation, the fine-grain...
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03/17/2018
SeqFace: Make full use of sequence information for face recognition
Deep convolutional neural networks (CNNs) have greatly improved the Face...
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03/17/2018
SeqFace: Make full use of sequence information for face recognitio
Deep convolutional neural networks (CNNs) have greatly improved the Face...
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08/16/2017
Cross-lingual Entity Alignment via Joint Attribute-Preserving Embedding
Entity alignment is the task of finding entities in two knowledge bases ...
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07/17/2017
PDD Graph: Bridging Electronic Medical Records and Biomedical Knowledge Graphs via Entity Linking
Electronic medical records contain multi-format electronic medical data ...
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04/10/2014
Real-time Decolorization using Dominant Colors
Decolorization is the process to convert a color image or video to its g...
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07/06/2009