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03/17/2023
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization
Graph Neural Networks (GNNs) are de facto solutions to structural data l...
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03/10/2023
FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection
Social bot detection is of paramount importance to the resilience and se...
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02/16/2023
Enhancing High-dimensional Bayesian Optimization by Optimizing the Acquisition Function Maximizer Initialization
Bayesian optimization (BO) is widely used to optimize black-box function...
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09/20/2022
BP-Im2col: Implicit Im2col Supporting AI Backpropagation on Systolic Arrays
State-of-the-art systolic array-based accelerators adopt the traditional...
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08/26/2022
Affinity-Aware Resource Provisioning for Long-Running Applications in Shared Clusters
Resource provisioning plays a pivotal role in determining the right amou...
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06/14/2022
RoSGAS: Adaptive Social Bot Detection with Reinforced Self-Supervised GNN Architecture Search
Social bots are referred to as the automated accounts on social networks...
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08/17/2021
HAWK: Rapid Android Malware Detection through Heterogeneous Graph Attention Networks
Android is undergoing unprecedented malicious threats daily, but the exi...
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04/16/2021
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
Graph Neural Networks (GNNs) have been widely used for the representatio...
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04/02/2021
Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks
Events are happening in real-world and real-time, which can be planned a...
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08/12/2020
Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market
We present Luce, the first life-long predictive model for automated prop...
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08/02/2020
A Survey on Text Classification: From Shallow to Deep Learning
Text classification is the most fundamental and essential task in natura...
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10/11/2019