ControBench is a new interaction-aware benchmark combining heterogeneous graphs and rich text for controversial discourse analysis on social networks.
Advances in Neural Information Processing Systems , volume=
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SCGNN uses granular-ball computing to partition nodes into groups, builds an anchor-based augmented graph, and fuses predictions with label-consistency supervision to improve semantic consistency in GNNs.
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ControBench: An Interaction-Aware Benchmark for Controversial Discourse Analysis on Social Networks
ControBench is a new interaction-aware benchmark combining heterogeneous graphs and rich text for controversial discourse analysis on social networks.
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SCGNN: Semantic Consistency enhanced Graph Neural Network Guided by Granular-ball Computing
SCGNN uses granular-ball computing to partition nodes into groups, builds an anchor-based augmented graph, and fuses predictions with label-consistency supervision to improve semantic consistency in GNNs.