Writing SCGraph-Bench Paper (6-page IEEE, Double-Blind)

Generates IEEE-style Sprint reports for agile teams from Commit data.

Updated Apr 9, 2026
One-click install
npx skills add https://github.com/NortonTong/SupplyGraph_Benchmark --skill writing-scgraph-bench-paper-6-page-ieee-double-blind
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Writing SCGraph-Bench Paper (6-page IEEE, Double-Blind)
Source: https://github.com/NortonTong/SupplyGraph_Benchmark/tree/main
Command: npx skills add https://github.com/NortonTong/SupplyGraph_Benchmark --skill writing-scgraph-bench-paper-6-page-ieee-double-blind

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Drafting a rigorous, reproducible IEEE conference paper for SCGraph-Bench, ensuring clear structure, tone, and compliance with double-blind submission.

Core Features & Use Cases

  • Establishes a reproducible narrative: graph construction, graph usage, graph-based baselines, and ablation studies.
  • Guides sectioning, citations, and formatting for IEEE 6-page limit.
  • UseCase: generate a complete draft including abstract, intro, related work, experiments, and conclusion with consistent style.

Quick Start

Create a concise 6-page IEEE draft that describes the SCGraph-Bench dataset, graph constructions, experimental setup, and key findings.

Frequently Asked Questions about Writing SCGraph-Bench Paper (6-page IEEE, Double-Blind)

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write a reproducible IEEE conference paper for graph benchmarking?

To draft a reproducible IEEE conference paper for graph benchmarking, structure a 6-page document covering graph construction, baseline comparisons, and transparent evaluation protocols while maintaining strict double-blind formatting.

What is the best way to structure a 6-page IEEE paper for supply chain graph benchmarks?

The best way to structure a 6-page IEEE paper for supply chain graph benchmarks is to organize sections into abstract, introduction, related work, graph construction, experimental setup, and conclusion with consistent citations to accepted venues.

How do I format a double-blind IEEE paper draft with GNN and XGBoost baselines?

Format a double-blind IEEE paper draft with GNN and XGBoost baselines by removing author identifying information, using the standard IEEE conference template, and detailing baseline comparisons and ablation studies within the 6-page limit.

Can I include demand-forecasting benchmarks with zero-inflated distributions in an IEEE paper?

Yes, you can include demand-forecasting benchmarks with zero-inflated and heavy-tailed distributions in an IEEE paper by documenting the graph-based pipelines and analyzing the statistical distributions within your experimental results section.

How do I compare GRU and GNN variants for graph-based demand forecasting in a research paper?

Compare GRU and GNN variants for graph-based demand forecasting by establishing a reproducible narrative that includes graph usage, baseline comparisons, and ablation studies to analyze zero-inflated demand distributions within your evaluation protocol.