Pith Number

pith:4T3EBXKM

pith:2026:4T3EBXKM4HDOAI663OAUTTZMDK

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Neuromorphic Graph Anomaly Detection via Adaptive STDP and Spiking Graph Neural Networks

Abdul Joseph Fofanah, David Chen, Kwabena Sarpong, Lian Wen, Tsungcheng Yao

A spiking neural network framework called ASTDP-GAD detects anomalies in dynamic graphs using adaptive STDP learning for neuromorphic energy efficiency.

arxiv:2605.13863 v1 · 2026-04-29 · cs.NE · cs.LG

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\usepackage{pith}
\pithnumber{4T3EBXKM4HDOAI663OAUTTZMDK}

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3 Author claim open · sign in to claim

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Claims

C1strongest claim

Theoretical analysis provides rigorous guarantees: spike encoding preserves input information with resolution scaling linearly in simulation steps and hidden dimension; LIFGAT approximates any continuous attention function; hypergraph memory converges to optimal prototypes; contrast pooling achieves provable anomaly selection bounds; STDP learning converges stably; and multi-factor fusion produces calibrated scores with up to 5× variance reduction.

C2weakest assumption

The assumption that the listed theoretical approximations and convergence results transfer to real-world dynamic graph data without significant degradation from discretization, noise, or hyperparameter choices in the adaptive LIF and STDP components.

C3one line summary

ASTDP-GAD unifies spiking neural computation, STDP learning, and graph anomaly detection with claimed theoretical guarantees on encoding, convergence, and score calibration.

References

79 extracted · 79 resolved · 1 Pith anchors

[1] A generalizable anomaly detection method in dynamic graphs 2025

[2] Graph anomaly detection in time series: A survey 2025

[3] Deep anomaly detection on attributed networks by graph update: Y 2025

[4] Ge-gnn: Gated edge-augmented graph neural network for fraud detection 2025

[5] Gat-ad: Graph attention networks for contextual anomaly detection in network monitoring 2025

Receipt and verification

First computed	2026-05-17T23:39:19.417879Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

e4f640dd4ce1c6e023dedb8149cf2c1ab3d6a8771a8d7d0e2e89e17702f2357f

Aliases

arxiv: 2605.13863 · arxiv_version: 2605.13863v1 · doi: 10.48550/arxiv.2605.13863 · pith_short_12: 4T3EBXKM4HDO · pith_short_16: 4T3EBXKM4HDOAI66 · pith_short_8: 4T3EBXKM

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/4T3EBXKM4HDOAI663OAUTTZMDK \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: e4f640dd4ce1c6e023dedb8149cf2c1ab3d6a8771a8d7d0e2e89e17702f2357f

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "0e6852be65783eeffff6bad45eeb31650bda6e8512b06a87f39106688df06866",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.NE",
    "submitted_at": "2026-04-29T04:45:11Z",
    "title_canon_sha256": "e22668648e9c044b6a697366afb3a5ed35e3ae308eaadffd46ae3b953a146836"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.13863",
    "kind": "arxiv",
    "version": 1
  }
}