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