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09/05/2023
sasdim: self-adaptive noise scaling diffusion model for spatial time series imputation
Spatial time series imputation is critically important to many real appl...
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08/28/2023
Can Transformer and GNN Help Each Other?
Although Transformer has achieved great success in natural language proc...
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05/23/2023
Continual Learning on Dynamic Graphs via Parameter Isolation
Many real-world graph learning tasks require handling dynamic graphs whe...
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08/02/2022
Geometric Interaction Augmented Graph Collaborative Filtering
Graph-based collaborative filtering is capable of capturing the essentia...
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05/10/2022
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks
Detecting abnormal nodes from attributed networks is of great importance...
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02/16/2022
HousE: Knowledge Graph Embedding with Householder Parameterization
The effectiveness of knowledge graph embedding (KGE) largely depends on ...
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02/08/2022
Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space
Face clustering has attracted rising research interest recently to take ...
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10/15/2021
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network
Graph Neural Networks (GNNs) have been widely studied in various graph d...
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08/12/2021
Session-based Recommendation with Heterogeneous Graph Neural Network
The purpose of the Session-Based Recommendation System is to predict the...
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05/22/2021
A Robust and Generalized Framework for Adversarial Graph Embedding
Graph embedding is essential for graph mining tasks. With the prevalence...
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08/30/2020
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks
Name disambiguation aims to identify unique authors with the same name. ...
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08/09/2020
Adversarial Directed Graph Embedding
Node representation learning for directed graphs is critically important...
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03/26/2020
Interpretable Deep Learning Model for Online Multi-touch Attribution
In online advertising, users may be exposed to a range of different adve...
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03/15/2020
SOM-based DDoS Defense Mechanism using SDN for the Internet of Things
To effectively tackle the security threats towards the Internet of thing...
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10/15/2019
DeepVS: An Efficient and Generic Approach for Source Code Modeling Usage
Recently deep learning-based approaches have shown great potential in th...
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10/12/2019
Deep Transfer Learning for Source Code Modeling
In recent years, deep learning models have shown great potential in sour...
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09/14/2019
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks
Recently, recommender systems play a pivotal role in alleviating the pro...
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08/23/2019
Behavior-aware Service Access Control Mechanism using Security Policy Monitoring for SOA Systems
Service-oriented architecture (SOA) system has been widely utilized at m...
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07/10/2019
Label Aware Graph Convolutional Network -- Not All Edges Deserve Your Attention
Graph classification is practically important in many domains. To solve ...
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06/11/2019
Deep Learning for Spatio-Temporal Data Mining: A Survey
With the fast development of various positioning techniques such as Glob...
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06/09/2019
Dynamic Network Embedding via Incremental Skip-gram with Negative Sampling
Network representation learning, as an approach to learn low dimensional...
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06/09/2019
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification
CNNs, RNNs, GCNs, and CapsNets have shown significant insights in repres...
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03/09/2019
Mutual Clustering on Comparative Texts via Heterogeneous Information Networks
Currently, many intelligence systems contain the texts from multi-source...
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03/07/2019
Multi-Hot Compact Network Embedding
Network embedding, as a promising way of the network representation lear...
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03/03/2019
CodeGRU: Context-aware Deep Learning with Gated Recurrent Unit for Source Code Modeling
Recently many NLP-based deep learning models have been applied to model ...
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09/02/2018
Enhancing Stock Market Prediction with Extended Coupled Hidden Markov Model over Multi-Sourced Data
Traditional stock market prediction methods commonly only utilize the hi...
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03/05/2018
Cross-Domain Recommendation for Cold-Start Users via Neighborhood Based Feature Mapping
Collaborative Filtering (CF) is a widely adopted technique in recommende...
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01/29/2018