research
∙
07/07/2023
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
Learning on Graphs has attracted immense attention due to its wide real-...
share
research
∙
07/05/2023
Recommender Systems in the Era of Large Language Models (LLMs)
With the prosperity of e-commerce and web applications, Recommender Syst...
research
∙
06/11/2023
Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective
Molecule discovery plays a crucial role in various scientific fields, ad...
research
∙
02/06/2023
Generative Diffusion Models on Graphs: Methods and Applications
Diffusion models, as a novel generative paradigm, have achieved remarkab...
research
∙
09/21/2022
A Comprehensive Survey on Trustworthy Recommender Systems
As one of the most successful AI-powered applications, recommender syste...
research
∙
08/18/2022
Disentangled Contrastive Learning for Social Recommendation
Social recommendations utilize social relations to enhance the represent...
research
∙
07/21/2022
Knowledge-enhanced Black-box Attacks for Recommendations
Recent studies have shown that deep neural networks-based recommender sy...
research
∙
06/01/2022
Defense Against Gradient Leakage Attacks via Learning to Obscure Data
Federated learning is considered as an effective privacy-preserving lear...
research
∙
04/04/2022
Automated Machine Learning for Deep Recommender Systems: A Survey
Deep recommender systems (DRS) are critical for current commercial onlin...
research
∙
08/12/2021
Graph Trend Networks for Recommendations
Recommender systems aim to provide personalized services to users and ar...
research
∙
08/07/2021
Jointly Attacking Graph Neural Network and its Explanations
Graph Neural Networks (GNNs) have boosted the performance for many graph...
research
∙
07/12/2021
Trustworthy AI: A Computational Perspective
In the past few decades, artificial intelligence (AI) technology has exp...
research
∙
06/12/2021
AutoLoss: Automated Loss Function Search in Recommendations
Designing an effective loss function plays a crucial role in training de...
research
∙
05/17/2020
Attacking Black-box Recommendations via Copying Cross-domain User Profiles
Recently, recommender systems that aim to suggest personalized lists of ...
research
∙
10/16/2019
Does Gender Matter? Towards Fairness in Dialogue Systems
Recently there are increasing concerns about the fairness of Artificial ...
research
∙
07/16/2019
Deep Social Collaborative Filtering
Recommender systems are crucial to alleviate the information overload pr...
research
∙
05/30/2019
Deep Adversarial Social Recommendation
Recent years have witnessed rapid developments on social recommendation ...
research
∙
02/19/2019