REPOGEO REPORT · LITE
qingsongedu/awesome-AI-for-time-series-papers
Default branch main · commit 8a67651d · scanned 5/8/2026, 11:02:48 PM
GitHub: 1,604 stars · 148 forks
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 qingsongedu/awesome-AI-for-time-series-papers, 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.
- highreadme#1Reposition the README's opening sentence to explicitly state 'awesome list'
Why:
CURRENTA professionally curated list of papers (with available code), tutorials, and surveys on recent **AI for Time Series Analysis (AI4TS)**, including Time Series, Spatio-Temporal Data, Event Data, Sequence Data, Temporal Point Processes, etc., at the **Top AI Conferences and Journals**, which is **updated ASAP (the earliest time)** once the accepted papers are announced in the corresponding top AI conferences/journals.
COPY-PASTE FIXThis is an **awesome list** of professionally curated papers (with available code), tutorials, and surveys on recent **AI for Time Series Analysis (AI4TS)**, including Time Series, Spatio-Temporal Data, Event Data, Sequence Data, Temporal Point Processes, etc., at the **Top AI Conferences and Journals**. It is **updated ASAP (the earliest time)** once accepted papers are announced in corresponding top AI conferences/journals.
- mediumhomepage#2Add a homepage URL to the repository's 'About' section
Why:
COPY-PASTE FIXhttps://github.com/qingsongedu/awesome-AI-for-time-series-papers
- lowreadme#3Add a 'Why this Awesome List?' section to the README
Why:
COPY-PASTE FIX## Why this Awesome List? Unlike general search engines or broad platforms, this list offers a **professionally curated and focused collection** of research papers, tutorials, and surveys specifically on AI for Time Series Analysis. It prioritizes papers from **top AI conferences and journals**, is **regularly updated**, and often includes **available code**, saving researchers and engineers significant time in discovering high-quality, relevant resources.
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.
- Kaggle · recommended 2×
- Papers With Code · recommended 1×
- arXiv · recommended 1×
- Google Scholar · recommended 1×
- AI-Index · recommended 1×
- CATEGORY QUERYWhere can I find a comprehensive list of recent AI research for time series?you: not recommendedAI recommended (in order):
- Papers With Code
- arXiv
- Google Scholar
- AI-Index
- The Batch by DeepLearning.AI
- Kaggle
- GitHub
AI recommended 7 alternatives but never named qingsongedu/awesome-AI-for-time-series-papers. This is the gap to close.
Show full AI answer
- CATEGORY QUERYSeeking tutorials and surveys on advanced AI techniques for time series prediction.you: not recommendedAI recommended (in order):
- TensorFlow
- Keras
- Kaggle
AI recommended 3 alternatives but never named qingsongedu/awesome-AI-for-time-series-papers. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
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 qingsongedu/awesome-AI-for-time-series-papers?passAI did not name qingsongedu/awesome-AI-for-time-series-papers — 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 qingsongedu/awesome-AI-for-time-series-papers in production, what risks or prerequisites should they evaluate first?passAI did not name qingsongedu/awesome-AI-for-time-series-papers — 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?
- In one sentence, what problem does the repo qingsongedu/awesome-AI-for-time-series-papers solve, and who is the primary audience?passAI did not name qingsongedu/awesome-AI-for-time-series-papers — 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 qingsongedu/awesome-AI-for-time-series-papers. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
Live preview[](https://repogeo.com/en/r/qingsongedu/awesome-AI-for-time-series-papers)<a href="https://repogeo.com/en/r/qingsongedu/awesome-AI-for-time-series-papers"><img src="https://repogeo.com/badge/qingsongedu/awesome-AI-for-time-series-papers.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
qingsongedu/awesome-AI-for-time-series-papers — 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