SpaceLearner

Awesome-DynamicGraphLearning

Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).

SessionRec-pytorch

Session-based Recommendation

Awesome-GPT

Awesome papers, datasets and projects about the study of large language models like GPT-3, GPT-3.5, ChatGPT, GPT-4, etc.

JGCF

A simple, efficient and effective Jacobi polynomial-based graph collaborative filtering algorithm.

GNG-ODE

GNG-ODE

POT_pytorch

Pytorch Optimal Transport Library

HeteroRewire

A heterogeneous graph rewiring method to boost the performance of GNNs on HG.

Awesome-DeepMoleculer

DisenGraphRep

OpenCourseCatalog

Bilibili 公开课目录

awesome

😎 Awesome lists about all kinds of interesting topics

awesome-nodejs

:zap: Delightful Node.js packages and resources

cs229t

Statistical Learning Theory (CS229T) Lecture Notes

dgl-SessRec

Session-based Recommendation with Deep Graph Library

DIM

Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"

DirectAU

KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering

git-stats

github-readme-stats

:zap: Dynamically generated stats for your github readmes

GNNPapers

Must-read papers on graph neural network (GNN)

graph_nets

Build Graph Nets in Tensorflow

Interview

Interview = 简历指南 + LeetCode + Kaggle

learn-to-Probabilistic-Machine-Learning

The book created by GJY

learning-to-learn

Learning to Learn in TensorFlow

NetWalk

NRLPapers

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

OpenNE

An Open-Source Package for Network Embedding (NE)

POT

Python Optimal Transport library

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

ReAct

[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models

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