---
license: mit
task_categories:
- text-classification
language:
- en
tags:
- AI
- NIPS
- NIPS2020
---
## Neural Information Processing Systems NeurIPS 2020 Accepted Paper Meta Info Dataset

This dataset is collected from the NeurIPS 2020 Advances in Neural Information Processing Systems 35 conference accepted paper (https://papers.nips.cc/paper_files/paper/2020) as well as the arxiv website DeepNLP paper arxiv (http://www.deepnlp.org/content/paper/nips2020). For researchers who are interested in doing analysis of NIPS 2020 accepted papers and potential research trends, you can use the already cleaned up json file in the dataset. Each row contains the meta information of a paper in the NIPS 2020 conference. To explore more AI & Robotic papers (NIPS/ICML/ICLR/IROS/ICRA/etc) and AI equations, feel free to navigate the Equation Search Engine (http://www.deepnlp.org/search/equation) as well as the AI Agent Search Engine to find the deployed AI Apps and Agents (http://www.deepnlp.org/search/agent) in your domain. 


### Meta Information of Json File

```
{
    "title": "A graph similarity for deep learning",
    "url": "https://papers.nips.cc/paper_files/paper/2020/hash/0004d0b59e19461ff126e3a08a814c33-Abstract.html",
    "authors": "Seongmin Ok",
    "detail_url": "https://papers.nips.cc/paper_files/paper/2020/hash/0004d0b59e19461ff126e3a08a814c33-Abstract.html",
    "tags": "NIPS 2020",
    "AuthorFeedback": "https://papers.nips.cc/paper_files/paper/2020/file/0004d0b59e19461ff126e3a08a814c33-AuthorFeedback.pdf",
    "Bibtex": "https://papers.nips.cc/paper_files/paper/9725-/bibtex",
    "MetaReview": "https://papers.nips.cc/paper_files/paper/2020/file/0004d0b59e19461ff126e3a08a814c33-MetaReview.html",
    "Paper": "https://papers.nips.cc/paper_files/paper/2020/file/0004d0b59e19461ff126e3a08a814c33-Paper.pdf",
    "Review": "https://papers.nips.cc/paper_files/paper/2020/file/0004d0b59e19461ff126e3a08a814c33-Review.html",
    "Supplemental": "https://papers.nips.cc/paper_files/paper/2020/file/0004d0b59e19461ff126e3a08a814c33-Supplemental.pdf",
    "abstract": "Graph neural networks (GNNs) have been successful in learning representations from graphs. Many popular GNNs follow the pattern of aggregate-transform: they aggregate the neighbors' attributes and then transform the results of aggregation with a learnable function. Analyses of these GNNs explain which pairs of non-identical graphs have different representations. However, we still lack an understanding of how similar these representations will be. We adopt kernel distance and propose transform-sum-cat as an alternative to aggregate-transform to reflect the continuous similarity between the node neighborhoods in the neighborhood aggregation. The idea leads to a simple and efficient graph similarity, which we name Weisfeiler-Leman similarity (WLS). In contrast to existing graph kernels, WLS is easy to implement with common deep learning frameworks. In graph classification experiments, transform-sum-cat significantly outperforms other neighborhood aggregation methods from popular GNN models. We also develop a simple and fast GNN model based on transform-sum-cat, which obtains, in comparison with widely used GNN models, (1) a higher accuracy in node classification, (2) a lower absolute error in graph regression, and (3) greater stability in adversarial training of graph generation."
}

```


## Related

## AI Agent Marketplace and Search
[AI Agent Marketplace and Search](http://www.deepnlp.org/search/agent) <br>
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[Equation and Academic search](http://www.deepnlp.org/search/equation) <br>
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[AI Agent Marketplace Blog](http://www.deepnlp.org/blog/ai-agent-marketplace-and-search-portal-reviews-2025) <br>

## AI Agent Reviews
[AI Agent Marketplace Directory](http://www.deepnlp.org/store/ai-agent) <br>
[Microsoft AI Agents Reviews](http://www.deepnlp.org/store/pub/pub-microsoft-ai-agent) <br>
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[AI Agent Builder Reviews](http://www.deepnlp.org/store/ai-agent/ai-agent-builder) <br>

## AI Equation
[List of AI Equations and Latex](http://www.deepnlp.org/equation/category/ai) <br>
[List of Math Equations and Latex](http://www.deepnlp.org/equation/category/math) <br>
[List of Physics Equations and Latex](http://www.deepnlp.org/equation/category/physics) <br>
[List of Statistics Equations and Latex](http://www.deepnlp.org/equation/category/statistics) <br>
[List of Machine Learning Equations and Latex](http://www.deepnlp.org/equation/category/machine%20learning) <br>