research
∙
09/05/2023
Robust Recommender System: A Survey and Future Directions
With the rapid growth of information, recommender systems have become in...
share
research
∙
07/13/2023
AutoHint: Automatic Prompt Optimization with Hint Generation
This paper presents AutoHint, a novel framework for automatic prompt eng...
research
∙
07/07/2023
What makes a successful rebuttal in computer science conferences? : A perspective on social interaction
With an exponential increase in submissions to top-tier Computer Science...
research
∙
06/26/2023
Metapopulation Graph Neural Networks: Deep Metapopulation Epidemic Modeling with Human Mobility
Epidemic prediction is a fundamental task for epidemic control and preve...
research
∙
05/25/2023
IDEA: Invariant Causal Defense for Graph Adversarial Robustness
Graph neural networks (GNNs) have achieved remarkable success in various...
research
∙
05/09/2023
Popularity Debiasing from Exposure to Interaction in Collaborative Filtering
Recommender systems often suffer from popularity bias, where popular ite...
research
∙
02/16/2023
Graph Adversarial Immunization for Certifiable Robustness
Despite achieving great success, graph neural networks (GNNs) are vulner...
research
∙
02/05/2023
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation
Recently, Graph Neural Networks (GNNs) achieve remarkable success in Rec...
research
∙
12/02/2022
A Theory of Semantic Communication
Semantic communication is an emerging topic that has received a wide ran...
research
∙
11/20/2022
Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective
Graph contrastive learning (GCL) emerges as the most representative appr...
research
∙
10/19/2022
DyTed: Disentangling Temporal Invariance and Fluctuations in Dynamic Graph Representation Learning
Unsupervised representation learning for dynamic graphs has attracted a ...
research
∙
09/23/2022
Outage Performance Analysis of HARQ-Aided Multi-RIS Systems
Reconfigurable intelligent surface (RIS) has recently attracted a spurt ...
research
∙
08/03/2022
Adversarial Camouflage for Node Injection Attack on Graphs
Node injection attacks against Graph Neural Networks (GNNs) have receive...
research
∙
07/13/2022
Dynamic gNodeB Sleep Control for Energy-Conserving 5G Radio Access Network
5G radio access network (RAN) is consuming much more energy than legacy ...
research
∙
05/31/2022
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
Training generative adversarial networks (GANs) with limited data is val...
research
∙
03/22/2022
Twin Weisfeiler-Lehman: High Expressive GNNs for Graph Classification
The expressive power of message passing GNNs is upper-bounded by Weisfei...
research
∙
08/30/2021
Single Node Injection Attack against Graph Neural Networks
Node injection attack on Graph Neural Networks (GNNs) is an emerging and...
research
∙
08/22/2021
Signed Bipartite Graph Neural Networks
Signed networks are such social networks having both positive and negati...
research
∙
07/21/2021
cGANs with Auxiliary Discriminative Classifier
Conditional generative models aim to learn the underlying joint distribu...
research
∙
07/12/2021
Inductive Representation Based Graph Convolution Network for Collaborative Filtering
In recent years, graph neural networks (GNNs) have shown powerful abilit...
research
∙
06/16/2021
Self-supervised GANs with Label Augmentation
Recently, transformation-based self-supervised learning has been applied...
research
∙
04/05/2021
A Non-sequential Approach to Deep User Interest Model for CTR Prediction
Click-Through Rate (CTR) prediction plays an important role in many indu...
research
∙
02/04/2021
Hybrid Adversarial Inverse Reinforcement Learning
In this paper, we investigate the problem of the inverse reinforcement l...
research
∙
12/30/2020
Fairness-Oriented User Scheduling for Bursty Downlink Transmission Using Multi-Agent Reinforcement Learning
In this work, we develop practical user scheduling algorithms for downli...
research
∙
09/28/2020
Partially Observable Minimum-Age Scheduling: The Greedy Policy
This paper studies the minimum-age scheduling problem in a wireless sens...
research
∙
07/19/2020
Adversarial Immunization for Improving Certifiable Robustness on Graphs
Despite achieving strong performance in the semi-supervised node classif...
research
∙
07/12/2020
IllumiNet: Transferring Illumination from Planar Surfaces to Virtual Objects in Augmented Reality
This paper presents an illumination estimation method for virtual object...
research
∙
06/21/2019
Coupled Graph Neural Networks for Predicting the Popularity of Online Content
Predicting the popularity of online content in social network is an impo...
research
∙
06/20/2019
A Graph Auto-Encoder for Attributed Network Embedding
Attributed network embedding aims to learn low-dimensional node represen...
research
∙
04/12/2019
Graph Wavelet Neural Network
We present graph wavelet neural network (GWNN), a novel graph convolutio...
research
∙
07/28/2017