基于深度图神经网络的Twitter虚假新闻检测
Fake news detection in Twitter using Deep Graph Neural Networks (2024-02-02, Jupyter Notebook, 0KB, 下载0次)
该存储库旨在解释最先进的假新闻检测模型。Huggingface模块仅用于解释文本库...
This repository aims to explain state-of-the-art Fake News Detection models. Huggingface module is intended for explaining only-text-based fake news detection models in Transformers. GNNFakeNews module is an attempt to explain GNNs that are hybrid models for fake news detection using GNNExplainer (2023-11-30, Jupyter Notebook, 0KB, 下载0次)
该存储库提供了一种建模以事件为中心的知识图的方法，用于在线新闻上的犯罪分析。
This repository provides a methodology for modeling Event-Centric Knowledge Graph for crime analysis on online news. (2022-09-21, Jupyter Notebook, 223KB, 下载0次)
因果图是框架中的中心对象，但它通常是未知的，受个人知识和偏见的影响，...
A causal graph is a central object in the framework, but it is often unknown, subject to personal knowledge and bias, or loosely connected to the available data. The main objective of the task is to highlight the importance of the matter in a concrete way. (2021-08-29, Jupyter Notebook, 2764KB, 下载0次)
使用python从多个来源获取新闻文章。运行NLP创建单词向量。构建知识图。...
Getting news articles from multiple sources in python. Running NLP to create word vectors. Building a knowledge graph. Creating Article Summary from multiple articles (2020-08-13, Jupyter Notebook, 6547KB, 下载0次)
NeMig-一个关于迁移的双语新闻集和知识图
NeMig - A Bilingual News Collection and Knowledge Graph about Migration (2023-05-09, Jupyter Notebook, 151563KB, 下载0次)
从新闻文章中创建摘要和知识图，，
Creating-summary-and-knowledge-graph-from-News-Articles,, (2020-08-13, Jupyter Notebook, 3788KB, 下载0次)
forayer是一个以实体为中心的知识图探索急救实用程序库。
forayer is a library of first aid utilities for knowledge graph exploration with an entity centric approach. (2023-06-02, Jupyter Notebook, 1247KB, 下载0次)
从新闻文章中创建总结图和知识图
CREATING SUMMARY AND KNOWLEDGE GRAPHS FROM NEWS ARTICLES (2020-08-13, Jupyter Notebook, 3784KB, 下载0次)
用Neo4j GDS探索新闻推荐
Exploring News Recommendation With Neo4j GDS (2023-02-05, Jupyter Notebook, 6929KB, 下载0次)
NUS-Fintech-2023-Redemption——使用GNN的假新闻检测，，
NUS-Fintech-2023-Redemption---Fake-News-Detection-using-GNNs,, (2023-01-15, Jupyter Notebook, 22564KB, 下载0次)
CF GNNE解释娱乐，，
CF-GNNExplainer-recreation,, (2023-02-04, Jupyter Notebook, 1849KB, 下载0次)
论文“从头开始学习识别高匹配度中心节点：一种新的图N...
The implementation of paper named "Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach" (CIKM 2019). (2023-03-28, Jupyter Notebook, 47492KB, 下载0次)
从学习到从头识别高匹配度中心节点实现DrBC方法：一种新的图N...
Implement the DrBC approach from Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach. paper : <https://arxiv.org/pdf/1905.10418.pdf> (2022-03-16, Jupyter Notebook, 16KB, 下载0次)
牛津大学和欧洲核子研究中心的图神经网络硕士论文
Master s Thesis on Graph Neural Networks at University of Oxford and CERN (2022-02-11, Jupyter Notebook, 2529KB, 下载0次)
EdgeSHAPer：基于键中心Shapley值的图神经网络解释方法
EdgeSHAPer: Bond-Centric Shapley Value-Based Explanation Method for Graph Neural Networks (2023-03-09, Jupyter Notebook, 47848KB, 下载0次)