REPOGEO REPORT · LITE
yueliu1999/Awesome-Deep-Graph-Clustering
Default branch main · commit 88c780f2 · scanned 5/25/2026, 9:48:21 AM
GitHub: 1,013 stars · 154 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 yueliu1999/Awesome-Deep-Graph-Clustering, 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 README opening to emphasize its definitive resource status
Why:
CURRENTADGC is a collection of state-of-the-art (SOTA), novel deep graph clustering methods (papers, codes and datasets).
COPY-PASTE FIXADGC is the definitive, comprehensive collection of state-of-the-art (SOTA) and novel deep graph clustering methods, including curated papers, code implementations, and datasets. It serves as an essential resource for researchers and practitioners seeking to explore or contribute to this rapidly evolving field.
- highabout#2Fill missing homepage metadata with repository URL
Why:
COPY-PASTE FIXhttps://github.com/yueliu1999/Awesome-Deep-Graph-Clustering
- mediumreadme#3Add a 'Comparison' section to differentiate from general GNN libraries
Why:
COPY-PASTE FIX## Comparison with Other Resources Unlike general graph neural network libraries (e.g., PyTorch Geometric, DGL) or broad research platforms (e.g., Papers With Code), ADGC specifically curates and focuses exclusively on *deep graph clustering* methods. Our aim is to provide a dedicated, in-depth resource for this specialized domain, offering direct links to papers, code, and datasets for focused research.
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.
- PyTorch Geometric (PyG) · recommended 1×
- Deep Graph Library (DGL) · recommended 1×
- Papers With Code · recommended 1×
- Spektral · recommended 1×
- StellarGraph · recommended 1×
- CATEGORY QUERYWhere can I find state-of-the-art deep learning methods for clustering graph data?you: not recommendedAI recommended (in order):
- PyTorch Geometric (PyG)
- Deep Graph Library (DGL)
- Papers With Code
- Spektral
- StellarGraph
- Awesome Graph Neural Networks
AI recommended 6 alternatives but never named yueliu1999/Awesome-Deep-Graph-Clustering. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat are the latest self-supervised graph neural network techniques for robust data clustering?you: not recommendedAI recommended (in order):
- DCRN
- BGRL
- GraphMAE
- GRACE
- GCA
- MVGRL
AI recommended 6 alternatives but never named yueliu1999/Awesome-Deep-Graph-Clustering. 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 yueliu1999/Awesome-Deep-Graph-Clustering?passAI did not name yueliu1999/Awesome-Deep-Graph-Clustering — 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 yueliu1999/Awesome-Deep-Graph-Clustering in production, what risks or prerequisites should they evaluate first?passAI did not name yueliu1999/Awesome-Deep-Graph-Clustering — 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 yueliu1999/Awesome-Deep-Graph-Clustering solve, and who is the primary audience?passAI did not name yueliu1999/Awesome-Deep-Graph-Clustering — 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
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yueliu1999/Awesome-Deep-Graph-Clustering — 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