RRepoGEO

REPOGEO REPORT · LITE

ddz16/TSFpaper

Default branch main · commit cdd0f830 · scanned 5/25/2026, 4:17:29 AM

GitHub: 3,144 stars · 268 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface ddz16/TSFpaper, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Clarify in the README that the repo is a paper list, not a code implementation

    Why:

    CURRENT
    This repository contains a reading list of papers (**400+ papers !!!**) on **Time Series Forecasting/Prediction (TSF)** and **Spatio-Temporal Forecasting/Prediction (STF)**.
    COPY-PASTE FIX
    This repository is a curated reading list of over 400 papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). **Please note: This repository provides paper references and summaries only; it does not contain code implementations or a unified API for these models.**
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file (e.g., `LICENSE.md`) in the repository root, containing the text of a standard open-source license such as MIT or Apache-2.0, to clearly define usage terms.
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Update the repository's About section to include a relevant homepage URL, such as a project website, an associated academic page, or a link back to the GitHub repository itself if no external site exists.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface ddz16/TSFpaper
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Papers With Code
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Papers With Code · recommended 1×
  2. Awesome Time Series Forecasting GitHub Repository · recommended 1×
  3. Google Scholar · recommended 1×
  4. arXiv · recommended 1×
  5. Kaggle · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated list of research papers on modern time series forecasting techniques?
    you: not recommended
    AI recommended (in order):
    1. Papers With Code
    2. Awesome Time Series Forecasting GitHub Repository
    3. Google Scholar
    4. arXiv
    5. Kaggle
    6. NeurIPS
    7. ICML
    8. ICLR
    9. KDD
    10. Forecasting: Principles and Practice (Hyndman & Athanasopoulos)

    AI recommended 10 alternatives but never named ddz16/TSFpaper. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What deep learning models are effective for spatio-temporal prediction with large datasets?
    you: not recommended
    AI recommended (in order):
    1. GCRN
    2. DCRNN
    3. STGCN
    4. ASTGCN
    5. Spatio-Temporal Transformers
    6. Informer
    7. Autoformer
    8. ConvLSTM
    9. ConvGRU
    10. PredRNN
    11. PredRNN++
    12. 3D CNNs
    13. C3D
    14. CNN-LSTM
    15. GNN-Transformer

    AI recommended 15 alternatives but never named ddz16/TSFpaper. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of ddz16/TSFpaper?
    pass
    AI named ddz16/TSFpaper explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts ddz16/TSFpaper in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ddz16/TSFpaper explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo ddz16/TSFpaper solve, and who is the primary audience?
    pass
    AI named ddz16/TSFpaper explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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ddz16/TSFpaper — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite