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REPOGEO REPORT · LITE

yyysjz1997/Awesome-TimeSeries-SpatioTemporal-Diffusion-Model

Default branch main · commit 400f64c4 · scanned 6/10/2026, 8:48:05 PM

GitHub: 992 stars · 74 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
22 /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
1 / 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 yyysjz1997/Awesome-TimeSeries-SpatioTemporal-Diffusion-Model, 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

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

OVERALL DIRECTION
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with an appropriate open-source license, such as CC-BY-4.0 for the content of the awesome list and survey.
  • mediumreadme#2
    Clarify the README's primary purpose in the main heading

    Why:

    CURRENT
    # Diffusion Model for Time Series and Spatio-Temporal Data
    COPY-PASTE FIX
    # Awesome List & Survey: Diffusion Models for Time Series and Spatio-Temporal Data

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 yyysjz1997/Awesome-TimeSeries-SpatioTemporal-Diffusion-Model
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Diffusion Models for Time Series: A Survey
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Diffusion Models for Time Series: A Survey · recommended 1×
  2. Diffusion Models: A Comprehensive Survey of Methods and Applications · recommended 1×
  3. Score-Based Generative Modeling through Stochastic Differential Equations · recommended 1×
  4. Denoising Diffusion Probabilistic Models · recommended 1×
  5. TimeGrad: Multivariant Probabilistic Time Series Forecasting with Score-Based Generative Models · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive survey of diffusion models for time series and spatio-temporal data?
    you: not recommended
    AI recommended (in order):
    1. Diffusion Models for Time Series: A Survey
    2. Diffusion Models: A Comprehensive Survey of Methods and Applications
    3. Score-Based Generative Modeling through Stochastic Differential Equations
    4. Denoising Diffusion Probabilistic Models
    5. TimeGrad: Multivariant Probabilistic Time Series Forecasting with Score-Based Generative Models
    6. Diffusion Models for Spatio-Temporal Data: A Survey
    7. Spatio-Temporal Diffusion Models for Traffic Flow Forecasting

    AI recommended 7 alternatives but never named yyysjz1997/Awesome-TimeSeries-SpatioTemporal-Diffusion-Model. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are current research trends in diffusion models for sequential and tabular data analysis?
    you: not recommended
    AI recommended (in order):
    1. TimeGrad
    2. DiffWave
    3. DiffuSeq
    4. Diffusion-LM
    5. Phenaki
    6. Make-A-Video
    7. Progressive Distillation
    8. Latent Diffusion Models (LDMs)
    9. Stable Diffusion
    10. Gen-1/Gen-2
    11. AnoDDPM
    12. TabDDPM
    13. CTAB-GAN
    14. GReaT
    15. Conditional TabDDPM variants
    16. DiffuseImpute

    AI recommended 16 alternatives but never named yyysjz1997/Awesome-TimeSeries-SpatioTemporal-Diffusion-Model. 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 yyysjz1997/Awesome-TimeSeries-SpatioTemporal-Diffusion-Model?
    pass
    AI did not name yyysjz1997/Awesome-TimeSeries-SpatioTemporal-Diffusion-Model — likely talking about a different project

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

  • If a team adopts yyysjz1997/Awesome-TimeSeries-SpatioTemporal-Diffusion-Model in production, what risks or prerequisites should they evaluate first?
    pass
    AI named yyysjz1997/Awesome-TimeSeries-SpatioTemporal-Diffusion-Model 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 yyysjz1997/Awesome-TimeSeries-SpatioTemporal-Diffusion-Model solve, and who is the primary audience?
    pass
    AI did not name yyysjz1997/Awesome-TimeSeries-SpatioTemporal-Diffusion-Model — likely talking about a different project

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

Embed your GEO score

Drop this badge into the README of yyysjz1997/Awesome-TimeSeries-SpatioTemporal-Diffusion-Model. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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yyysjz1997/Awesome-TimeSeries-SpatioTemporal-Diffusion-Model — 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