One such task is assigning sentiment polarity labels to the vertices of a large social network based on local ground truth state vectors.
As a concrete example, the proposed methodology has been applied to two benchmark graphs obtained from political Twitter with topic sampling regarding the Greek ...
Dec 30, 2020 · As a concrete example, the proposed methodology has been applied to two benchmark graphs obtained from political Twitter with topic sampling ...
A graph neural network for assessing the affective coherence of Twitter graphs. G Drakopoulos, I Giannoukou, P Mylonas, S Sioutas. 2020 IEEE International ...
Here an extensible computational methodology is proposed based on a graph neural network operating on an edge fuzzy graph constructed by a combination of ...
Relative steady steady difference vs iteration. A Graph Neural Network For Assessing The Affective Coherence Of Twitter Graphs. Conference Paper. Full-text ...
Sioutas, A graph neural network for assessing the affective coherence of Twitter graphs, in: IEEE. Big Data, IEEE, 2020, pp. 3618–3627. doi:10.1109/.
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A Graph Neural Network For Assessing The Affective Coherence Of Twitter Graphs · Transform-based graph topology similarity metrics · Graph Neural Networks For ...
[PDF] Intelligent Agents with Graph Mining for Link Prediction over Neo4j
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A graph neural network for assessing the affective coherence of Twitter graphs. In IEEE Big. Data, pages 3618–3627. IEEE. Drakopoulos, G., Giannoukou, I ...
Jun 12, 2024 · We propose GAME-ON, a Graph Neural Network based end-to-end trainable framework that allows granular interactions within and across different modalities.