SBGNN

stellargraph

StellarGraph - Machine Learning on Graphs

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

NATS-Bench

TPAMI 2021: NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size

graphsim

Graph similarity algorithms based on NetworkX.

BAT

[ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角改善类别不平衡...

SiGAT

source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)

sensAI

sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data

U-2-Net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Ne...

BiRefNet

[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation

NodePiece

Compositional and Parameter-Efficient Representations for Large Knowledge Graphs (ICLR'22)

GraphGym

Platform for designing and evaluating Graph Neural Networks (GNN)

knowledge_graph_attention_network

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

CARE-GNN

Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged...

gnn-benchmark

Framework for evaluating Graph Neural Network models on semi-supervised node classification task

BSMS-GNN