Add Uint Support
pytorch/pytorch
Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros.
Conference papers on graph neural networks and graph learning
Install Graph Learning Papers Guide
$ npx skills add wentorai/research-plugins --skill graph-learning-papers-guide -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install wentorai/research-plugins graph-learning-papers-guide --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/domains/ai-ml/graph-learning-papers-guide .claude/skills/graph-learning-papers-guide && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "graph-learning-papers-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/ai-ml/graph-learning-papers-guide into .claude/skills/graph-learning-papers-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graph-learning-papers-guide", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/wentorai/research-plugins/tree/main/skills/domains/ai-ml/graph-learning-papers-guideType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add wentorai/research-plugins --skill graph-learning-papers-guide -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install wentorai/research-plugins graph-learning-papers-guide --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/domains/ai-ml/graph-learning-papers-guide .agents/skills/graph-learning-papers-guide && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "graph-learning-papers-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/ai-ml/graph-learning-papers-guide into .agents/skills/graph-learning-papers-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graph-learning-papers-guide", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add wentorai/research-plugins --skill graph-learning-papers-guide -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install wentorai/research-plugins graph-learning-papers-guide --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/domains/ai-ml/graph-learning-papers-guide .cursor/skills/graph-learning-papers-guide && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "graph-learning-papers-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/ai-ml/graph-learning-papers-guide into .cursor/skills/graph-learning-papers-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graph-learning-papers-guide", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/wentorai/research-plugins.git --path skills/domains/ai-ml/graph-learning-papers-guide--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add wentorai/research-plugins --skill graph-learning-papers-guide -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install wentorai/research-plugins graph-learning-papers-guide --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/domains/ai-ml/graph-learning-papers-guide .gemini/skills/graph-learning-papers-guide && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "graph-learning-papers-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/ai-ml/graph-learning-papers-guide into .gemini/skills/graph-learning-papers-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graph-learning-papers-guide", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install wentorai/research-plugins graph-learning-papers-guideInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add wentorai/research-plugins --skill graph-learning-papers-guide -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/domains/ai-ml/graph-learning-papers-guide .github/skills/graph-learning-papers-guide && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "graph-learning-papers-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/ai-ml/graph-learning-papers-guide into .github/skills/graph-learning-papers-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graph-learning-papers-guide", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add wentorai/research-plugins --skill graph-learning-papers-guide -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install wentorai/research-plugins graph-learning-papers-guide --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/domains/ai-ml/graph-learning-papers-guide .opencode/skills/graph-learning-papers-guide && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "graph-learning-papers-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/ai-ml/graph-learning-papers-guide into .opencode/skills/graph-learning-papers-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graph-learning-papers-guide", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
graph-learning-papers-guide- GitHub stars
- 298
- Used in
- 1 other repo
- Token cost
- ~987 tokens
- SKILL.md length
- 157 words
- Files
- 1
- Skills in repo
- 405
- Repo updated
- First seen
- Licence
- MIT
At a glance
Conference papers on graph neural networks and graph learning
- Works in 5 steps: Literature survey: Track GNN research… → Method comparison: Compare GNN… → Research planning: Identify trends and… → …
- Tasks that involve Deep learning
- SKILL.md covers Overview, Topic Taxonomy, Key Models and Paper Search, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Graph Learning Papers Guide is an agent skill from wentorai/research-plugins. Conference papers on graph neural networks and graph learning
Its SKILL.md is about 990 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering Deep learning. The repository describes itself as: 350+ academic research skills, MCP configs, and plugins for Research-Claw and AI agents. The licence is MIT.
When your agent uses it
- Tasks that involve Deep learning
Example prompts
- “/graph-learning-papers-guide”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Literature survey: Track GNN research across top venues
- Method comparison: Compare GNN architectures and results
- Research planning: Identify trends and open problems
- Course preparation: Curate reading lists for GNN courses
- Benchmark tracking: Monitor SOTA on OGB leaderboards
What it can do on your machine
Read from SKILL.md and the folder at commit bf44b3c. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
github.comogb.stanford.edupyg.orgdgl.ai
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Graph Learning Papers Guide loads about 987 tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 157 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from wentorai/research-plugins at commit bf44b3c, republished under its MIT licence (© wentorai). 157 words, ~987 tokens.
Download SKILL.mdSave it as
.claude/skills/graph-learning-papers-guide/SKILL.md (or your agent's skills folder).- name
- graph-learning-papers-guide
- description
- Conference papers on graph neural networks and graph learning
Graph Learning Papers Guide
Overview
A curated list of graph learning papers from top AI/ML conferences (NeurIPS, ICML, ICLR, KDD, WWW, AAAI). Covers graph neural networks, graph transformers, spectral methods, message passing, and applications in molecular science, social networks, and recommendation systems. Organized by venue, year, and topic for systematic tracking.
Topic Taxonomy
Graph Learning
├── Graph Neural Networks
│ ├── Message Passing (GCN, GAT, GraphSAGE, GIN)
│ ├── Spectral (ChebNet, CayleyNet)
│ ├── Graph Transformers (Graphormer, GPS)
│ └── Equivariant GNNs (EGNN, SE(3)-Transformers)
├── Graph Generation
│ ├── VAE-based (GraphVAE)
│ ├── Autoregressive (GraphRNN)
│ ├── Diffusion (GDSS, DiGress)
│ └── Flow-based (GraphFlow)
├── Self-supervised Learning
│ ├── Contrastive (GraphCL, GCA)
│ ├── Generative (GraphMAE)
│ └── Predictive (GPT-GNN)
├── Scalability
│ ├── Sampling (GraphSAINT, ClusterGCN)
│ ├── Knowledge distillation
│ └── Graph condensation
├── Temporal Graphs
│ ├── Dynamic GNNs
│ ├── Temporal interaction
│ └── Evolving graphs
└── Applications
├── Molecular property prediction
├── Drug discovery
├── Social network analysis
├── Recommendation systems
└── Traffic forecastingKey Models
| Model | Year | Innovation |
|---|---|---|
| GCN | 2017 | Spectral convolution simplified |
| GraphSAGE | 2017 | Inductive with sampling |
| GAT | 2018 | Attention over neighbors |
| GIN | 2019 | WL-test as powerful as possible |
| Graphormer | 2021 | Transformer on graphs |
| GPS | 2022 | General, powerful, scalable recipe |
| GraphMAE | 2022 | Masked autoencoding on graphs |
Paper Search
import arxiv
def find_gnn_papers(topic="graph neural network", max_results=20):
"""Find recent GNN papers."""
search = arxiv.Search(
query=f"abs:{topic}",
max_results=max_results,
sort_by=arxiv.SortCriterion.SubmittedDate,
)
for r in search.results():
print(f"[{r.published.strftime('%Y-%m-%d')}] {r.title}")
find_gnn_papers("graph transformer")
find_gnn_papers("molecular graph generation")Benchmark Datasets
datasets = {
"Node Classification": {
"Cora": "Citation network, 7 classes",
"PubMed": "Medical citation, 3 classes",
"ogbn-arxiv": "arXiv papers, 40 classes",
"ogbn-papers100M": "100M papers (large-scale)",
},
"Graph Classification": {
"ZINC": "Molecular graphs, regression",
"ogbg-molpcba": "128 molecular tasks",
"PROTEINS": "Protein function prediction",
},
"Link Prediction": {
"ogbl-collab": "Author collaborations",
"ogbl-citation2": "Citation prediction",
},
}
for task, ds in datasets.items():
print(f"\n{task}:")
for name, desc in ds.items():
print(f" {name}: {desc}")Use Cases
- Literature survey: Track GNN research across top venues
- Method comparison: Compare GNN architectures and results
- Research planning: Identify trends and open problems
- Course preparation: Curate reading lists for GNN courses
- Benchmark tracking: Monitor SOTA on OGB leaderboards
References
© wentorai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/domains/ai-ml/graph-learning-papers-guide of wentorai/research-plugins.
Open the folder on GitHubat commit bf44b3c
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in wentorai/research-plugins, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Graph Learning Papers Guide next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Graph Learning Papers Guide this skillwentorai/research-plugins | 298 | 1 repos | ~987 | Automated safety check: Pass | MIT | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.3k | Automated safety check: Pass | MIT | |
| Add Oponnx/onnx | 22k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Add Function Bodyonnx/onnx | 22k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Graph Learning Papers Guide
What does Graph Learning Papers Guide do?
Conference papers on graph neural networks and graph learning. Graph Learning Papers Guide is an agent skill from wentorai/research-plugins.
When should I use Graph Learning Papers Guide?
Graph Learning Papers Guide fits situations like: tasks that involve Deep learning.
How do I install Graph Learning Papers Guide in Claude Code?
Run `npx skills add wentorai/research-plugins --skill graph-learning-papers-guide -a claude-code`. Or copy the skill folder (skills/domains/ai-ml/graph-learning-papers-guide in wentorai/research-plugins) into .claude/skills/graph-learning-papers-guide in your project. Claude Code loads it when a task matches its description.
How do I install Graph Learning Papers Guide in Codex?
Run `npx skills add wentorai/research-plugins --skill graph-learning-papers-guide -a codex`. Or copy the skill folder (skills/domains/ai-ml/graph-learning-papers-guide in wentorai/research-plugins) into .agents/skills/graph-learning-papers-guide in your project. Codex loads it when a task matches its description.
Can I use Graph Learning Papers Guide in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wentorai/research-plugins --skill graph-learning-papers-guide -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/graph-learning-papers-guide, .gemini/skills/graph-learning-papers-guide, .github/skills/graph-learning-papers-guide and .opencode/skills/graph-learning-papers-guide in your project.
What does Graph Learning Papers Guide need to run?
SKILL.md names no scripts, command-line tools or credentials: Graph Learning Papers Guide is instructions for the agent only. Our summary lists: Python 3.
Does Graph Learning Papers Guide access the network?
SKILL.md names 4 domains. As links in the text: github.com, ogb.stanford.edu, pyg.org and dgl.ai. This is read from the text; nothing was executed.
Is Graph Learning Papers Guide safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Graph Learning Papers Guide use?
Graph Learning Papers Guide is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Graph Learning Papers Guide use?
About 987 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Graph Learning Papers Guide?
Skills that share tags, products or a category with Graph Learning Papers Guide: Add Uint Support (pytorch/pytorch, 104k stars), Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars), Add Op (onnx/onnx, 22k stars) and CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Graph Learning Papers Guide?
wentorai (a GitHub user) maintains it in wentorai/research-plugins, which has 298 GitHub stars. The repository holds 405 skills in this directory. The repository was last updated on June 19, 2026.
Source: wentorai/research-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.