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08/31/2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications
Graph Neural Networks (GNNs) have gained significant attention owing to ...
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08/22/2023
Knowledge Graph Prompting for Multi-Document Question Answering
The 'pre-train, prompt, predict' paradigm of large language models (LLMs...
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07/10/2023
Fairness and Diversity in Recommender Systems: A Survey
Recommender systems are effective tools for mitigating information overl...
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06/09/2023
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics
Machine learning provides a valuable tool for analyzing high-dimensional...
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12/07/2022
Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations
While machine learning models have achieved unprecedented success in rea...
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07/03/2022
Collaboration-Aware Graph Convolutional Networks for Recommendation Systems
By virtue of the message-passing that implicitly injects collaborative e...
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06/24/2022
On Structural Explanation of Bias in Graph Neural Networks
Graph Neural Networks (GNNs) have shown satisfying performance in variou...
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06/07/2022
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage
Graph Neural Networks (GNNs) have shown great power in learning node rep...
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12/01/2021
Imbalanced Graph Classification via Graph-of-Graph Neural Networks
Graph Neural Networks (GNNs) have achieved unprecedented success in lear...
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10/22/2021
Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification
Recent years have witnessed the significant success of applying graph ne...
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08/25/2021
Tree Decomposed Graph Neural Network
Graph Neural Networks (GNNs) have achieved significant success in learni...
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08/06/2021
Interpretable Visual Understanding with Cognitive Attention Network
While image understanding on recognition-level has achieved remarkable a...
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05/10/2021
Graph Feature Gating Networks
Graph neural networks (GNNs) have received tremendous attention due to t...
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11/19/2020
Node Similarity Preserving Graph Convolutional Networks
Graph Neural Networks (GNNs) have achieved tremendous success in various...
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06/17/2020
Self-supervised Learning on Graphs: Deep Insights and New Direction
The success of deep learning notoriously requires larger amounts of cost...
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05/27/2020
Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models
Recently, neural network based dialogue systems have become ubiquitous i...
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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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12/24/2019
Characterizing the Decision Boundary of Deep Neural Networks
Deep neural networks and in particular, deep neural classifiers have bec...
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09/13/2019
Say What I Want: Towards the Dark Side of Neural Dialogue Models
Neural dialogue models have been widely adopted in various chatbot appli...
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05/30/2019
Deep Adversarial Social Recommendation
Recent years have witnessed rapid developments on social recommendation ...
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02/27/2019