YuWVandy

KG-LLM-MDQA

CAGCN

This repository includes the implementation of CAGCN and the experiments on link prediction/node classification

G2GNN

DPGNN

FairVGNN

Large-Graph-Generative-Model

Topo_LP_GNN

Awesome-Graph-NLP

Awesome-Fairness-and-Diversity-Papers-in-Recommender-Systems

This repository aims to provide comprehensive paper lists of work on fairness and diversity in recommender systems.

chemicalx

A PyTorch and TorchDrug based deep learning library for drug pair scoring.

G2GNN_update

MolKGNN

MolKGNN is a deep learning model for predicting biological activity or molecular properties. It features in 1. SE(3)-invariance 2. conformation-invariance 3. interpretability. MolKGNN uses a novel molecular convolution to leverage the similarity of molecular neighborhood and kernels. It shows superior results in realistic drug discovery datasets.

NeuralCommonNeighbor

subgraph-sketching

code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486

CoGSL

Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression

Distributed-System-1

GDI

GraphFM

The source code for GraphFM: A comprehensive benchmark for Graph Foundation Model

KB2E

Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE

KGE

Some papers on Knowledge Graph Embedding(KGE)

machine-learning-interview-enlightener

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

markdown-cheatsheet

Markdown Cheatsheet for Github Readme.md

matthewberger.github.io

ogb

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

PS2

TFE-GNN

WWW'23 Research Paper: TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification

UltraGCN

[CIKM'21] UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation

YuWVandy.github.io

Yu Wang's personal webpage

YuWVandy.github.io_backup

YuWVandy2.github.io