Abstract: When facing graph signal processing tasks, it is typically assumed that the graph describing the support of the signals is known. However, in many relevant applications the available graph ...
Recently, many versatile Multi-modal Large Language Models (MLLMs) have emerged continuously. However, their capacity to query information depicted in visual charts and engage in reasoning based on ...
Tensor Factorization With Sparse and Graph Regularization for Fake News Detection on Social Networks
Abstract: Social media has a significant influence, which greatly facilitates people to stay up-to-date with information. Unfortunately, a great deal of fake news on social media misleads people and ...
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