Graph Adversarial Learning Literature
safe-graph
A curated list of adversarial attacks and defenses papers on graph-structured data.
OPENAGENTSKILL / DIRECTORY
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Candidates in this shortlist, not the full registry. GitHub stars belong to repositories, not individual skills.
Results: 10
safe-graph
A curated list of adversarial attacks and defenses papers on graph-structured data.
rlaope
[omh] Hermes Adversarial Consensus workflow: independent perspectives attack a proposal, then distill into a bundle a separate planner consumes. Use when the user says:…
hollobit
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
tsingyuai
Run an SEO page observation-action-review loop with persistent Memory by coordinating demand research, page creation, adversarial review, image generation, IndexNow subm…
agentscope-ai
Use when the user needs to design evaluation datasets, create test cases, stratify samples, generate adversarial examples, extract eval dimensions from traces/specs, or…
kozistr
Awesome Generative Adversarial Networks with tensorflow
Boom5426
Use when a manuscript's claims need to be checked against the sources cited for them, when literature search results must be verified before they enter a draft, or when…
CamusGIT
Guides self-review of YOUR OWN academic paper before submission with adversarial stress-testing. Core method: 5-aspect checklist (contribution sufficiency, writing clari…
LerianStudio
Executing a phased plan in rolling waves where each phase runs as one multi-agent workflow harness: the supervisor elaborates the phase into tasks against the real lande…
kgraph57
Claude Code skill for academic manuscript writing: IMRAD workflows, literature matrices, tables/figures, and tested utilities.