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08/13/2023
Modified Topological Image Preprocessing for Skin Lesion Classifications
This paper proposes a modified Topological Data Analysis model for skin ...
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08/03/2023
Target-point Attention Transformer: A novel trajectory predict network for end-to-end autonomous driving
In the field of autonomous driving, there have been many excellent perce...
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07/04/2023
All in One: Multi-task Prompting for Graph Neural Networks
Recently, ”pre-training and fine-tuning” has been adopted as a standard ...
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03/04/2023
Decision Support System for Chronic Diseases Based on Drug-Drug Interactions
Many patients with chronic diseases resort to multiple medications to re...
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12/22/2022
Self-supervised Hypergraph Representation Learning for Sociological Analysis
Modern sociology has profoundly uncovered many convincing social criteri...
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03/17/2022
Mutual Generative Transformer Learning for Cross-view Geo-localization
Cross-view geo-localization (CVGL), which aims to estimate the geographi...
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02/07/2022
User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systems
User Satisfaction Estimation (USE) is an important yet challenging task ...
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11/27/2021
Partner Personas Generation for Diverse Dialogue Generation
Incorporating personas information allows diverse and engaging responses...
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04/08/2021
QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search
Recently, attributed community search, a related but different problem t...
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04/03/2021
Mutual Graph Learning for Camouflaged Object Detection
Automatically detecting/segmenting object(s) that blend in with their su...
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02/08/2021
Mask-GVAE: Blind Denoising Graphs via Partition
We present Mask-GVAE, a variational generative model for blind denoising...
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01/15/2021
Unstructured Knowledge Access in Task-oriented Dialog Modeling using Language Inference, Knowledge Retrieval and Knowledge-Integrative Response Generation
Dialog systems enriched with external knowledge can handle user queries ...
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12/22/2020
Graph Autoencoders with Deconvolutional Networks
Recent studies have indicated that Graph Convolutional Networks (GCNs) a...
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11/24/2020
The thermal power generation and economic growth in the central and western China: A heterogeneous mixed panel Granger-Causality approach
The problem of the new energy economy has become a global hot issue. Thi...
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10/09/2020
Dirichlet Graph Variational Autoencoder
Graph Neural Networks (GNNs) and Variational Autoencoders (VAEs) have be...
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08/07/2020
Cascade Graph Neural Networks for RGB-D Salient Object Detection
In this paper, we study the problem of salient object detection (SOD) fo...
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02/12/2020
Joint Embedding in Named Entity Linking on Sentence Level
Named entity linking is to map an ambiguous mention in documents to an e...
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01/31/2020
Hybrid Graph Neural Networks for Crowd Counting
Crowd counting is an important yet challenging task due to the large sca...
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01/22/2020
Adversarial Attack on Community Detection by Hiding Individuals
It has been demonstrated that adversarial graphs, i.e., graphs with impe...
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11/15/2019
Graph Iso/Auto-morphism: A Divide- -Conquer Approach
The graph isomorphism is to determine whether two graphs are isomorphic....
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07/26/2019
Place Clustering-based Feature Recombination for Visual Place Recognition
Visual place recognition is an important problem in both computer vision...
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05/10/2019
Predicting Path Failure In Time-Evolving Graphs
In this paper we use a time-evolving graph which consists of a sequence ...
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04/10/2019
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective
Node classification and graph classification are two graph learning prob...
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01/02/2018
A Semantic-Rich Similarity Measure in Heterogeneous Information Networks
Measuring the similarities between objects in information networks has f...
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12/26/2015
Regularized Orthogonal Tensor Decompositions for Multi-Relational Learning
Multi-relational learning has received lots of attention from researcher...
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09/03/2014
