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awesome-graph-self-supervised-learning-based-recommendation

A curated list of awesome graph & self-supervised-learning-based recommendation.

awesome-recsys-papers

The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

bert

TensorFlow code and pre-trained models for BERT

bert-gnn-dependency

bert_gnn_arxiv

Multi-class Classification with fine-tuned BERT & GNN

blog_code_gnn_scratch

A repo for holding example code

chinese-text-preprocessing

clean-house-assisted-data

to clean data for household assisted data and perform prediction based on some simple ML algorithms

comparing-mlalgorithms-accuracy

Proceed dataset with different algorithms and check for best accuracy

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

cskg

CSKG: The CommonSense Knowledge Graph

data_science_bootcamp

Welcome to Data Science Bootcamp Series. This repository houses the source code and other supporting artifacts related to this bootcamp series.

demo-hgpu

this is a demo only

distilbert_sentiment_classification

simple model using ktrain and distilbert to achieve 94% accuracy in sentiment classification

fastgcn

The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

gcn_link_prediction

Graph link prediction using joint distribution of nodes

gcnn-survey-paper

gnn-for-text-classification

Graph convolutional networks (GCN), graphSAGE and graph attention networks (GAT) for text classification

gnn-semantic-similarity

Semantic Similarity of Text Using GNN

gnn_semantictaco2

The code of "Dependency Parsing based Semantic Representation Learning with Graph Neural Network for Enhancing Expressiveness of Text-to-Speech"

govuk-lda-tagger

An experiment of using the LDA machine learning algorithm to generate topics from documents and tag them with those topics

gpu_red_streamlit

graph-rag

Graph based retrieval + GenAI = Better RAG in production

graph_convolutional_lstm

Traffic Graph Convolutional Recurrent Neural Network

graph_ml

Projects that involve graph datasets

graphembedding

Implementation and experiments of graph embedding algorithms.

graphsage-and-gat-for-link-prediction

GraphSAGE and GAT for link prediction.

hetersumgraph

Code for ACL2020 paper "Heterogeneous Graph Neural Networks for Extractive Document Summarization"

include_library_sample

A sample code for importing code from a 3rd party library in C++

keras

Deep Learning for humans