This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

Paper reading notes on Deep Learning and Machine Learning

A curated list of adversarial attacks and defenses papers on graph-structured data.

A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.

Adversarial attacks and defenses on Graph Neural Networks.

Open Information Extraction (OpenIE) and Open Relation Extraction (ORE) papers and data.

Reference and citation map for literature review and discovery

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…

Organize literature into ideas, fast.

LitStudy: Using the power of Python to automate scientific literature analysis from the comfort of a Jupyter notebook

Perform forward and backward citation chasing as part of an evidence synthesis project

This web app aims to help scientists with their literature review using metadata from OpenAlex (OA), Semantic Scholar (S2) and Crossref (CR) in local citation networks.

Literature Scanner: Automated collection & analyses of the scientific literature.

The aim of auto-paper is to give you tips, tricks, and tools to accelerate your publication rate and improve publication quality.

Provides tools for literature snowballing

Literature and light wrappers for gaussian process models.

AI-powered literature review tools leverage machine learning to expedite and enhance the scholarly process of identifying, analyzing, and synthesizing relevant research.

Turbocharge a PubMed literature search using citation counts and data from the NIH

Package to help with scientific literature research

A curated list of awesome papers that study energy efficiency for mobile applications.