PGExplainer
PulseAugur coverage of PGExplainer — every cluster mentioning PGExplainer across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Graph learning framework tackles transformer circuit localization
Researchers have introduced Graph Circuit Learning (GCL), a novel framework that treats circuit localization in transformer models as a graph machine learning problem. This approach trains a graph neural network (GNN) a…
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New GNN approach enhances multi-site pollution prediction accuracy
Researchers have developed a novel approach using Graph Neural Networks (GNNs) to improve the accuracy of particulate matter (PM) pollution prediction. This method dynamically constructs graphs based on inter-class rela…
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New ORACAL framework boosts smart contract vulnerability detection
Researchers have developed ORACAL, a new multimodal framework designed to enhance the detection of smart contract vulnerabilities. This framework integrates various graph representations like Control Flow Graph, Data Fl…