ylic204

ST-LLM

Official implementation of the paper "Spatial-Temporal Large Language Model for Traffic Prediction"

llmtime

ragflow

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

GPF

The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.

ani-rss

自动追番、订阅、下载 蜜柑RSS动漫

paper-reading

深度学习经典、新论文逐段精读

chatgpt-prompt-engineering-for-developers

吴恩达《ChatGPT Prompt Engineering for Developers》课程中英版

GPPT

awesome-self-supervised-learning-for-graphs

A curated list for awesome self-supervised learning for graphs.

network-communication-conferences

This is the repository for tracking the deadline and acceptance rate of top conferences for computer networks and communications.

DGI

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

DIG

A library for graph deep learning research

Awesome-Spatio-Temporal-Representation-Learning

Summary of Spatio-Temporal Representation Learning Models.

GCN-LPA

A tensorflow implementation of GCN-LPA

TSF_LSTF_Compare

Time series forecasting especially in LSTF compare，include Informer, Autoformer, Reformer, Pyraformer, FEDformer, Transformer, MTGNN, LSTNet, Graph WaveNet

GraphPrompt

GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks

KPI-Anomaly-Detection

2018AIOps: The 1st match for AIOps

GraphSSL

Course Project for CS224W at Stanford

Awesome-Graph-Prompt

Awesome Papers About Performing Prompting On Graphs

2016CCF-StateGrid

CCF2016 - TNT_000二等奖作品

Interview

Interview = 简历指南 + 算法题 + 八股文 + 源码分析

ProG

A Unified Python Library for Graph Prompting

PatchTST

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

Time-LLM

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

JARVIS

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

Graph-LLM

Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs

ts2vec

A universal time series representation learning framework

TimesURL

The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"

telemanom

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

MGCLAD

Official code for "Multi-view Graph Contrastive Learning for Multivariate Time-Series Anomaly Detection in IoT"