Popular GitHub Repositories for Graph Algorithms

校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step

A collection of research papers and software related to explainability in graph machine learning.

A curated list of adversarial attacks and defenses papers on graph-structured data.

Hierarchical Graph Pooling with Structure Learning

PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)

[EMNLP'2024] "OpenGraph: Towards Open Graph Foundation Models"

[KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"

A reading list for deep graph learning acceleration.

A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).

Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".

A Large-Scale Company Relation Graph for Investment Industry

Make GNN easy to start with

Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures

Graph convolutions in Keras with TensorFlow, PyTorch or Jax.

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

This is a Pytorch implementation of GraphLIME

(Pre Alpha)NebulaGraph AI High-Level API, do Graph Algo, Analytics in 4 lines of code.

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques

Learning to untangle genome assembly with graph neural networks.