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08/22/2023
Class Label-aware Graph Anomaly Detection
Unsupervised GAD methods assume the lack of anomaly labels, i.e., whethe...
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08/18/2023
MUSE: Music Recommender System with Shuffle Play Recommendation Enhancement
Recommender systems have become indispensable in music streaming service...
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08/16/2023
S-Mixup: Structural Mixup for Graph Neural Networks
Existing studies for applying the mixup technique on graphs mainly focus...
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08/03/2023
Quantum Multi-Agent Reinforcement Learning for Autonomous Mobility Cooperation
For Industry 4.0 Revolution, cooperative autonomous mobility systems are...
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07/19/2023
Two Tales of Platoon Intelligence for Autonomous Mobility Control: Enabling Deep Learning Recipes
This paper presents the deep learning-based recent achievements to resol...
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07/14/2023
Single-cell RNA-seq data imputation using Feature Propagation
While single-cell RNA sequencing provides an understanding of the transc...
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06/27/2023
Unsupervised Episode Generation for Graph Meta-learning
In this paper, we investigate Unsupervised Episode Generation methods to...
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06/24/2023
Similarity Preserving Adversarial Graph Contrastive Learning
Recent works demonstrate that GNN models are vulnerable to adversarial a...
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06/07/2023
Multi-Agent Reinforcement Learning for Cooperative Air Transportation Services in City-Wide Autonomous Urban Air Mobility
The development of urban-air-mobility (UAM) is rapidly progressing with ...
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06/01/2023
Task Relation-aware Continual User Representation Learning
User modeling, which learns to represent users into a low-dimensional re...
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05/30/2023
Task-Equivariant Graph Few-shot Learning
Although Graph Neural Networks (GNNs) have been successful in node class...
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05/29/2023
Shift-Robust Molecular Relational Learning with Causal Substructure
Recently, molecular relational learning, whose goal is to predict the in...
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04/29/2023
Conditional Graph Information Bottleneck for Molecular Relational Learning
Molecular relational learning, whose goal is to learn the interaction be...
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04/17/2023
MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation
The long-tailed problem is a long-standing challenge in Sequential Recom...
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03/13/2023
Predicting Density of States via Multi-modal Transformer
The density of states (DOS) is a spectral property of materials, which p...
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02/09/2023
Quantum Multi-Agent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems
This paper proposes a novel quantum multi-agent actor-critic networks (Q...
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02/08/2023
EQuaTE: Efficient Quantum Train Engine for Dynamic Analysis via HCI-based Visual Feedback
This paper proposes an efficient quantum train engine (EQuaTE), a novel ...
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01/18/2023
Workload-Aware Scheduling using Markov Decision Process for Infrastructure-Assisted Learning-Based Multi-UAV Surveillance Networks
In modern networking research, infrastructure-assisted unmanned autonomo...
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12/21/2022
Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization
Sentence summarization shortens given texts while maintaining core conte...
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12/01/2022
Unbiased Heterogeneous Scene Graph Generation with Relation-aware Message Passing Neural Network
Recent scene graph generation (SGG) frameworks have focused on learning ...
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11/28/2022
Heterogeneous Graph Learning for Multi-modal Medical Data Analysis
Routine clinical visits of a patient produce not only image data, but al...
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11/24/2022
Software Simulation and Visualization of Quantum Multi-Drone Reinforcement Learning
Quantum machine learning (QML) has received a lot of attention according...
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11/13/2022
Multi-Agent Deep Reinforcement Learning for Efficient Passenger Delivery in Urban Air Mobility
It has been considered that urban air mobility (UAM), also known as dron...
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10/07/2022
Set2Box: Similarity Preserving Representation Learning of Sets
Sets have been used for modeling various types of objects (e.g., a docum...
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10/04/2022
Age-of-Information Aware Contents Caching and Distribution for Connected Vehicles
To support rapid and accurate autonomous driving services, road environm...
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10/03/2022
Cooperative Multi-Agent Deep Reinforcement Learning for Reliable and Energy-Efficient Mobile Access via Multi-UAV Control
This paper addresses a novel multi-agent deep reinforcement learning (MA...
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09/14/2022
Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability
Sequential recommender systems have shown effective suggestions by captu...
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08/22/2022
LTE4G: Long-Tail Experts for Graph Neural Networks
Existing Graph Neural Networks (GNNs) usually assume a balanced situatio...
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08/21/2022
Relational Self-Supervised Learning on Graphs
Over the past few years, graph representation learning (GRL) has been a ...
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04/13/2022
AHP: Learning to Negative Sample for Hyperedge Prediction
Hypergraphs (i.e., sets of hyperedges) naturally represent group relatio...
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04/04/2022
GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment
Despite the success of Graph Neural Networks (GNNs) on various applicati...
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12/05/2021
Augmentation-Free Self-Supervised Learning on Graphs
Inspired by the recent success of self-supervised methods applied on ima...
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11/22/2021
Learnable Structural Semantic Readout for Graph Classification
With the great success of deep learning in various domains, graph neural...
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05/13/2021
Bootstrapping User and Item Representations for One-Class Collaborative Filtering
The goal of one-class collaborative filtering (OCCF) is to identify the ...
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02/15/2021
HDMI: High-order Deep Multiplex Infomax
Networks have been widely used to represent the relations between object...
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06/07/2020
Unsupervised Differentiable Multi-aspect Network Embedding
Network embedding is an influential graph mining technique for represent...
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11/26/2019
BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network
The goal of network embedding is to transform nodes in a network to a lo...
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11/15/2019
Unsupervised Attributed Multiplex Network Embedding
Nodes in a multiplex network are connected by multiple types of relation...
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06/04/2019
Collaborative Translational Metric Learning
Recently, matrix factorization-based recommendation methods have been cr...
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06/04/2019
Task-Guided Pair Embedding in Heterogeneous Network
Many real-world tasks solved by heterogeneous network embedding methods ...
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09/28/2017