Lunar Signal Observatory Nocturne Research Archive

Execution node

O1-KR1: Critical Node Identification on Multi-layer Heterogeneous Networks

Ongoing pillar Structural Signal Mining Updated

Develop a graph-neural-network-centered method for critical node identification in multi-layer heterogeneous network settings, with delivery by June 30, 2026.

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Execution progress 0%
Milestones
3
Descendants
1
Blog links
2
Artifacts
1

Subtree telemetry

Execution Table

Parent Structural Signal Mining (Critical Nodes in Complex Networks)

Execution metrics for O1-KR1: Critical Node Identification on Multi-layer Heterogeneous Networks and descendant roadmap nodes
Node Level Status Progress Children Related Blog Related Artifacts Milestones Next Target Last Updated
O1-KR1: Critical Node Identification on Multi-layer Heterogeneous Networks pillar Ongoing 0.0% 1 2 1 0/3
2026/03/31 Ongoing Finish baselines, data splits, and critical-node metric definitions
2026/06/30
O1-KR3: Transfer Structural Methods to Semantic Networks task Pending 0.0% 0 2 1 0/3
2027/03/31 Planned Define mapping protocols from structural features to semantic-network features
2027/10/31

Overview

This pillar closes the loop for structural modeling with task definition, implementation, evaluation, and reproducibility, ensuring timely O1-KR1 delivery.

Research log

02

《图论导论》平面图

2025/09/21

《图论导论》路径和环

2025/07/11

Materialized signal

01

Identifying Critical Nodes with Deep Learning and Reinforcement Learning

PAPER

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