AttackPathGNN introduces a State Interference Graph and conjunction pooling inside a GNN to detect cross-function vulnerabilities in Solidity contracts, reporting 92.3% F1 on SmartBugs Wild.
Enhanced Smart Contract Vulnerability Detection via Graph Neural Networks: Achieving High Accuracy and Efficiency,
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
SemDINO proposes a dual-branch encoder with DINOv3 features, multi-scale temporal interaction, and enhancement modules for improved semantic change detection in remote sensing.
citing papers explorer
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AttackPathGNN: Cross-function vulnerability detection in smart contracts using state interference graphs and conjunction pooling
AttackPathGNN introduces a State Interference Graph and conjunction pooling inside a GNN to detect cross-function vulnerabilities in Solidity contracts, reporting 92.3% F1 on SmartBugs Wild.
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SemDINO: A DINOv3-Driven Network for Cross-Temporal Semantic Alignment in Change Detection
SemDINO proposes a dual-branch encoder with DINOv3 features, multi-scale temporal interaction, and enhancement modules for improved semantic change detection in remote sensing.