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A news event evolution analysis and situation prediction model integrating knowledge graphs and spatio-temporal graph convolutional networks

2026model innovationnovelmethod

Yingpei Xi

International Journal of Information and Communication Technology

https://doi.org/10.1504/ijict.2026.10077255OpenAlex: W7140278262
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Abstract Quality
GPT-5.5 Abstract Analysis

Problems Identified (4)

News Event Evolution Analysis: The paper addresses analysis of how news events evolve over time and context.

Situation Prediction: The paper addresses predicting situations related to news events.

News Event Evolution Analysis: The paper addresses analysis of how news events evolve over time and context.

Situation Prediction: The paper addresses predicting situations related to news events.

Proposed Solutions (2)

KG-STGCN Event Prediction Model: The paper proposes a model integrating knowledge graphs and spatio-temporal graph convolutional networks for news event evolution analysis and situation prediction.

KG-STGCN Event Prediction Model: The paper proposes a model integrating knowledge graphs and spatio-temporal graph convolutional networks for news event evolution analysis and situation prediction.

Research Domain

news event analysis and prediction

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