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07/01/2023
A Transparent and Nonlinear Method for Variable Selection
Variable selection is a procedure to attain the truly important predicto...
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06/20/2023
Brain Anatomy Prior Modeling to Forecast Clinical Progression of Cognitive Impairment with Structural MRI
Brain structural MRI has been widely used to assess the future progressi...
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04/04/2023
Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment
The multi-modal entity alignment (MMEA) aims to find all equivalent enti...
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03/02/2023
Reinforcement Learning Guided Multi-Objective Exam Paper Generation
To reduce the repetitive and complex work of instructors, exam paper gen...
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12/24/2022
Hybrid Representation Learning for Cognitive Diagnosis in Late-Life Depression Over 5 Years with Structural MRI
Late-life depression (LLD) is a highly prevalent mood disorder occurring...
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11/15/2022
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems
Event detection in power systems aims to identify triggers and event typ...
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04/07/2022
Music Influence Modeling Based on Directed Network Model
Studying the history of music may provide a glimpse into the development...
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08/23/2021
Event Extraction by Associating Event Types and Argument Roles
Event extraction (EE), which acquires structural event knowledge from te...
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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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08/06/2021
Transferring Knowledge Distillation for Multilingual Social Event Detection
Recently published graph neural networks (GNNs) show promising performan...
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07/05/2021
Deep Learning Schema-based Event Extraction: Literature Review and Current Trends
Schema-based event extraction is a critical technique to apprehend the e...
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07/04/2021
CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction
Event extraction (EE) is a crucial information extraction task that aims...
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06/23/2021
Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations
Event extraction is a fundamental task for natural language processing. ...
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06/06/2021
Attend and Select: A Segment Attention based Selection Mechanism for Microblog Hashtag Generation
Automatic microblog hashtag generation can help us better and faster und...
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10/19/2020
Adaptive Attentional Network for Few-Shot Knowledge Graph Completion
Few-shot Knowledge Graph (KG) completion is a focus of current research,...
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06/09/2019
Dynamic Network Embedding via Incremental Skip-gram with Negative Sampling
Network representation learning, as an approach to learn low dimensional...
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06/09/2019
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification
CNNs, RNNs, GCNs, and CapsNets have shown significant insights in repres...
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10/14/2018
Hierarchical Attention Networks for Knowledge Base Completion via Joint Adversarial Training
Knowledge Base (KB) completion, which aims to determine missing relation...
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11/30/2017