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07/24/2022
Federated Graph Contrastive Learning
Graph learning models are critical tools for researchers to explore grap...
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07/01/2022
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning
Graph contrastive learning has emerged as a powerful tool for unsupervis...
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02/17/2022
Graph Masked Autoencoder
Transformers have achieved state-of-the-art performance in learning grap...
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01/20/2022
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation
Graph contrastive learning is the state-of-the-art unsupervised graph re...
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01/19/2022
Dual Space Graph Contrastive Learning
Unsupervised graph representation learning has emerged as a powerful too...
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01/17/2022
Towards Unsupervised Deep Graph Structure Learning
In recent years, graph neural networks (GNNs) have emerged as a successf...
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01/07/2022
GenLabel: Mixup Relabeling using Generative Models
Mixup is a data augmentation method that generates new data points by mi...
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11/24/2021
Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation
Recent advances in path-based explainable recommendation systems have at...
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10/29/2021
Improving Fairness via Federated Learning
Recently, lots of algorithms have been proposed for learning a fair clas...
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09/09/2021
Is Attention Better Than Matrix Decomposition?
As an essential ingredient of modern deep learning, attention mechanism,...
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09/07/2021
Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation
User purchasing prediction with multi-behavior information remains a cha...
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05/19/2021
Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems
Hyperbolic space and hyperbolic embeddings are becoming a popular resear...
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01/08/2021
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection
Obstructive Sleep Apnea (OSA) is a highly prevalent but inconspicuous di...
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11/25/2020
Interpretable Signed Link Prediction with Signed Infomax Hyperbolic Graph
Signed link prediction in social networks aims to reveal the underlying ...
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07/31/2020
MUZZ: Thread-aware Grey-box Fuzzing for Effective Bug Hunting in Multithreaded Programs
Grey-box fuzz testing has revealed thousands of vulnerabilities in real-...
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06/02/2020
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction
Cross-platform account matching plays a significant role in social netwo...
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09/04/2018
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing
In company with the data explosion over the past decade, deep neural net...
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09/04/2018
Coverage-Guided Fuzzing for Deep Neural Networks
In company with the data explosion over the past decade, deep neural net...
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10/14/2017
When Point Process Meets RNNs: Predicting Fine-Grained User Interests with Mutual Behavioral Infectivity
Predicting fine-grained interests of users with temporal behavior is imp...
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09/27/2017