SS0mmy

SS0mmy's Stars

• zzsza/Datascience-Interview-Questions

  Datascience-Interview-Questions for Korean

  853216

• H4Y3J1N/Graph-Travel

  with GUG, Let's explore the Graph Neural Network!

  Language:Jupyter Notebook181

• PetarV-/DGI

  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

  Language:Python626137

• giuseppefutia/link-prediction-code

  Language:Python4

• dsgiitr/graph_nets

  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

  Language:Jupyter Notebook1.1k224

• AntonioLonga/PytorchGeometricTutorial

  Pytorch Geometric Tutorials

  Language:Jupyter Notebook1k304

• syvail/PairE-Graph-Representation-Learning-Beyond-Node-and-Homophily

  "Graph Representation Learning Beyond Node and Homophily"

  Language:Jupyter Notebook7

• SeongBeomLEE/Tobigs_Recommendation_System_Seminar

  추천시스템 강의를 위해 만든 코드가 저장된 폴더

  Language:Jupyter Notebook63

• SeongBeomLEE/RecsysTutorial

  추천시스템 논문을 읽고 구현한 Code가 저장된 Repository

  Language:Jupyter Notebook6611

• ceo21ckim/NGCF-PyTorch

  Neural Graph Collaborative Filtering (SIGIR'19)

  Language:Jupyter Notebook22

• Joinn99/ExpGCN

  PyTorch implementation of our paper "Review-aware Graph Convolution Network for explainable recommendation"

  Language:Python91

• NSSSJSS/MHGCN

  KDD'22

  Language:Python558

• AnonymousResearchLab/BipartiteGraphModel

  BipartiteGraphModels

  Language:Python62

• palash1992/GEM

  Language:Python1.3k360

• raunakkmr/GraphSAGE-and-GAT-for-link-prediction

  GraphSAGE and GAT for link prediction.

  Language:Jupyter Notebook8118

• 4pygmalion/GAT_tensorflow

  GAT with tensorflow 2.x implementation

  Language:Jupyter Notebook1

• zhuty16/GES

  This is our Tensorflow implementation for "Graph-based Embedding Smoothing for Sequential Recommendation" (GES) TKDE 2021.

  Language:Python204

• lijin118/LLAE

  Low-Rank Linear Autoencoder, LLAE, AAAI 2019, From Zero-Shot Learning to Cold-Start Recommendation

  Language:MATLAB396

• thunlp/PretrainingRecommender

  Source code for Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect

  Language:Python2

• AIM-SE/DIF-SR

  Language:Python9222

• HKUDS/DCCF

  [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"

  Language:Python555

• WittmannF/sort-google-scholar

  Sorting Google Scholar search results based on the number of citations

  Language:Python768163

• yafangy/Review_aspect_extraction

  CNN-based model to realize aspect extraction of restaurant reviews based on pre-trained word embeddings and part-of-speech tagging

  Language:Python10327

• ceo21ckim/BERT-E2E-ABSA-Pytorch

  Exploiting BERT for End-to-End Aspect-based Sentiment Analysis (EMNLP'19)

  Language:Python21

• ceo21ckim/DGL-Tutorial

  This Repository includes DGL tutorials and various information related to graph neural networks.

  Language:Jupyter Notebook297

• huangtinglin/MixGCF

  MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021

  Language:Python9626

• akaxlh/MB-GMN

  MB-GMN, SIGIR 2021

  Language:Python4314

• RUCAIBox/RecSysDatasets

  This is a repository of public data sources for Recommender Systems (RS).

  Language:Python806129

• xptree/DeepInf

  DeepInf: Social Influence Prediction with Deep Learning

  Language:Python29286

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  15.9k3k