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-fake-news-detection-

Fake news is misinformation or manipulated news that is spread across the social media with an intention to damage a person, agency and organisation. Due to the dissemination of fake news, there is a need for computational methods to detect them. Fake news detection aims to help users to expose varieties of fabricated news. To achieve this goal, first we have taken the datasets which contains both fake and real news and conducted various experiments to organize fake news detector. We used natural processing, machine learning and deep learning techniques to classify the datasets. We yielded a comprehensive audit of detecting fake news by including fake news categorization, existing algorithms from machine learning techniques. In this project, we explored different machine learning models like Naïve Bayes, K nearest neighbors, decision tree, random forest and deep learning networks like Shallow Convolutional Neural Networks (CNN), Deep Convolutional Neural Network (VDCNN), Long Short-Term Memory Network (LSTM), Gated Recurrent Unit Network (GRU), Combination of Convolutional Neural Network with Long Short-Term Memory (CNN-LSTM) and Convolutional Neural Network with Gated Recurrent Unit (CNN-LSTM).

2019-ncov

2021-maxp-dgl-graphml-competition-intermediate-solution-

3d-sis

[CVPR'19] 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans

aicoco

“爱可可-爱生活”微博内容精选

arenas-covid19-model

This repository contains the python code for Alex Arenas et al. model of epidemic contaigion of the SARS-Cov2 virus.

awesome-chinese-nlp

A curated list of resources for Chinese NLP 中文自然语言处理相关资料

awesome-influence-maximization-papers

awesome-knowledge-graph

整理知识图谱相关学习资料

awesome-network-embedding

A curated list of network embedding techniques.

basicsirmodel

A simple SIR model in Python

bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

bigcn

Source Codes: Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks--AAAI 2020

bimpm

BiMPM: Bilateral Multi-Perspective Matching for Natural Language Sentences

borda_count

simple implementation of the borda count in python

c4

capsgnn

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

cascn

Information Diffusion Prediction via Recurrent Cascades Convolution

ccf-bdci-automotive-field-asc-2018

CCF-BDCI 2018年汽车行业用户观点主题及情感识别挑战赛 第6名解决方案

cdma-multiplexer

This program simulates how a message would be passed through a CDMA network. From the sender to the receiver using a multiplexer and demultiplexer.

centrality-influence-maximization

An influence maximization model based on various centrality measurement methods and IC model

chinese_rumor_dataset

中文谣言数据

cntopic

简单好用的lda话题模型，支持中英文。该库基于gensim和pyLDAvis，实现了lda话题模型及可视化功能。

code_weighted_multiplex_ensembles

Phys. Rev. E 90, 062817, PLoS ONE 9(6): e97857. doi: 10.1371/journal.pone.0097857

community-detection-in-multilayer-graph

This project aims to perform the community detection in multi-layer graph using subspace analysis on Grassmann manifolds method.

communitywithrw

model for computing communities in large networks using random walks

complex-networks

CN Assignments

computing-communities-in-large-networks-using-random-walks

Implementation of a random-walk based algorithm Walktrap to efficiently find clusters in graphs.

contact_based_epidemiology

Message-Passing framework for SIR epidemic spreading on temporal networks

convkb

A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018)