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+ {
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+ "hidden_dim": 256,
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+ "out_dim": 128,
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+ "num_layers": 3,
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+ "dropout": 0.3,
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+ "lr": 0.001,
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+ "weight_decay": 0.0005,
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+ "epochs": 150,
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+ "adapter_rank": 16,
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+ "threat_ratio": 0.15,
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+ "threshold": 0.5,
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+ "model": "HeteroRGCN",
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+ "framework": "PyTorch Geometric",
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+ "init_strategy": "GraphSAGE-style projection (Stanford)",
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+ "peft": "GNN Adapter layers (residual bottleneck)",
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+ "node_types": [
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+ "user",
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+ "device",
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+ "cve",
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+ "cloud",
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+ "role",
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+ "ip"
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+ ],
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+ "edge_types": [
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+ [
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+ "user",
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+ "assumes_role",
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+ "role"
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+ ],
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+ [
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+ "user",
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+ "accesses",
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+ "device"
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+ ],
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+ [
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+ "user",
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+ "connects_to",
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+ "ip"
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+ ],
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+ [
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+ "device",
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+ "has_vuln",
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+ "cve"
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+ ],
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+ [
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+ "device",
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+ "deployed_on",
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+ "cloud"
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+ ],
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+ [
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+ "device",
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+ "lateral_movement",
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+ "device"
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+ ],
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+ [
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+ "cve",
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+ "exploits",
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+ "device"
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+ ],
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+ [
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+ "role",
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+ "grants_access",
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+ "cloud"
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+ ],
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+ [
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+ "ip",
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+ "connects_to",
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+ "device"
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+ ]
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+ ],
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+ "feat_dims": {
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+ "user": 320,
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+ "device": 386,
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+ "cve": 130,
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+ "cloud": 320,
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+ "role": 128,
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+ "ip": 128
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+ },
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+ "predict_types": [
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+ "user",
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+ "device"
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+ ],
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+ "best_epoch": 112,
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+ "best_val_auc": 0.985262824936738,
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+ "hf_repo": "adarsh-aur/Heterogenous_GNN"
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+ }