SongRb

texstudio

TeXstudio is a fully featured LaTeX editor. Our goal is to make writing LaTeX documents as easy and comfortable as possible.

NeuRec

Next RecSys Library

Sequential_Recommendation

awesome-neural-models-for-semantic-match

A curated list of papers dedicated to neural text (semantic) matching.

winget-cli

WinGet is the Windows Package Manager. This project includes a CLI (Command Line Interface), PowerShell modules, and a COM (Component Object Model) API (Application Programming Interface).

biliuwp

bilibili uwp

ieee.icu

A website for courses of IEEE pilot class, SJTU | 上海交通大学 IEEE 试点班的课程信息

KNI

Knowledge-enhanced Neighborhood Interaction model for recommendation

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

RSAlgorithms

Some algorithms about traditional and social recommendation.

dill

serialize all of Python

SurviveSJTUManual

更新2008年版本的《上海交通大学生存手册》gitbook发布于https://survivesjtu.gitbook.io/survivesjtumanual/

poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

awesome-embedding-models

A curated list of awesome embedding models tutorials, projects and communities.

awesome-data-comp-solution

数据科学/人工智能比赛解决方案汇总

pygcn

Graph Convolutional Networks in PyTorch

Tencent2019_Finals_Rank1st

2019腾讯广告算法大赛完整代码（冠军）

Tencent2019_Preliminary_Rank1st

The code for 2019 Tencent College Algorithm Contest, and the online result ranks 1st in the preliminary.

BoostedFactorization

An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).

google-research

Google Research

AttentionWalk

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

NRLPapers

Must-read papers on network representation learning (NRL) / network embedding (NE)

ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

evil

The extensible vi layer for Emacs.

Brain-Inspired-Course-Project

Course Project

TuckER

TuckER: Tensor Factorization for Knowledge Graph Completion

NEU

source code for IJCAI 17 paper "Fast Network Embedding Enhancement via High Order Proximity Approximation"

CogDL

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)