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algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-graph-llm

A collection of AWESOME things about Graph-Related LLMs.

coop

Learning to Prompt for Vision-Language Models.

g2p2

Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023

g2p2-conditional

graphformers

graphneuralnetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

graphormer

This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".

graphsage-pytorch

A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

mat

The official implementation of the Molecule Attention Transformer.

mi-gnn

Code for "Meta-Inductive Node Classification across Graphs", in proceeding of SIGIR 2021

openhine

An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)

pt-dgnn

trend

TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.

trend-1

vpgnn

VPGNN