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06/24/2023
Intensity-free Convolutional Temporal Point Process: Incorporating Local and Global Event Contexts
Event prediction in the continuous-time domain is a crucial but rather d...
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04/19/2023
TieFake: Title-Text Similarity and Emotion-Aware Fake News Detection
Fake news detection aims to detect fake news widely spreading on social ...
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03/07/2023
Document-level Relation Extraction with Cross-sentence Reasoning Graph
Relation extraction (RE) has recently moved from the sentence-level to d...
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04/08/2022
Semantic Representation and Dependency Learning for Multi-Label Image Recognition
Recently many multi-label image recognition (MLR) works have made signif...
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08/10/2021
Self-supervised Consensus Representation Learning for Attributed Graph
Attempting to fully exploit the rich information of topological structur...
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06/25/2021
Self-paced Principal Component Analysis
Principal Component Analysis (PCA) has been widely used for dimensionali...
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06/18/2021
Towards Clustering-friendly Representations: Subspace Clustering via Graph Filtering
Finding a suitable data representation for a specific task has been show...
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06/16/2021
Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages
Nowadays, Graph Neural Networks (GNNs) following the Message Passing par...
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08/31/2020
Structured Graph Learning for Clustering and Semi-supervised Classification
Graphs have become increasingly popular in modeling structures and inter...
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08/03/2020