Sunmeiyu-smy

Multimodal-Information-Bottleneck

Multimodal Information Bottleneck: Learning Minimal Sufficient Unimodal and Multimodal Representations (MIB for multimodal sentiment analysis)

graph-information-bottleneck-for-Subgraph-Recognition

Deep_Variational_Information_Bottleneck

Tensorflow implementation of deep variational information bottleneck

VIBNet

Compressing Neural Networks using the Variational Information Bottleneck

VIB-pytorch

Pytorch implementation of Deep Variational Information Bottleneck

DeepLearningEnabledSemanticCommunicationSystems

Socialformer

The implement of Socialformer

recommenders

Best Practices on Recommendation Systems

Yelp-Challenge-Dataset-Information-Retrieval

Filtered the the Yelp Challenge Dataset based on restaurant businesses for three major cities and built a recommendation system based on user reviews. Employed techniques like Non-Negative Matrix Factorization (NMF), Term Frequency Inverse Document Frequency (TF-IDF), Document to Vector (Doc2Vec) and Word2Vec with Latent Dirichlet Allocation (LDA) to create Collaborative Filtering and Content-Based Recommendation Systems.

Sequential-Recommendation-Datasets

Download and preprocess popular sequential recommendation datasets

YelpDatasetChallenge

Restaurant recommendations and review text-based quality predictions

dien

DeepHawkes

DeepHawkes: Popularity Prediction of Information Cascades

CoupledGNN

CoupledGNN: Popularity prediction with Coupled Graph Neural Networks

PSSL

time_lstm

STGNN

The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network

CapsE

A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)

tfword2vec

Conv-KNRM

Convolutional Neural Networks for So-Matching N-Grams in Ad-hoc Search

class

CPP

Content Popularity Prediction

moviesPopularityPrediction

Implementing various techniques of deep learning: Simple Linear Regresssion, Multi-Layer Perceptron and RNN

UHAN

User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction

Hierarchical-Embedding-Model-for-Personalized-Product-Search

An implementation of the Hierarchical Embedding Model (HEM) for personalized product search

PEKS

Implementation of Public Key Encryption with Keyword Search

Awesome-Federated-Learning-on-Graph-and-GNN-papers

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

GFL

Galaxy Federated Learning Framework （星际联邦学习框架）

backdoors101

Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.

Federated-Learning-PyTorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data