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Meta-learning enables quick adaptation of machine learning models to new tasks with limited data. While tasks could come from varying …

Recent years have witnessed the increasing abuse of coordinated accounts on multiple social media platforms. Such accounts are usually …

Weakly supervised scene graph parsing, which learns structured image representations without annotated correspondences between graph …

Recent years have witnessed the rise of misinformation campaigns that spread specific narratives on social media to manipulate public …

COVID-19 vaccine hesitancy has increased concerns about vaccine uptake required to overcome the pandemic and protect public health. A …

Recent years have witnessed an increasing use of coordinated accounts on social media, operated by misinformation campaigns to …

Disinformation campaigns on social media, involving coordinated activities from malicious accounts towards manipulating public opinion, …

Recent works show that end-to-end, (semi-) supervised network embedding models can generate satisfactory vectors to represent network …

Recent works reveal that network embedding techniques enable many machine learning models to handle diverse downstream tasks on graph …

Chinese medical concept normalization, which maps non-standard medical concepts to standard expressions, is a NLP task with …