hypergraph-learning 开源项目推荐（27 个）

iMoonLab /yolov13

“YOLOv 13：使用Hypergraph增强自适应视觉感知的实时对象检测”的实现。

pyt-team /TopoModelX

Topological Deep Learning

Graph-COM /ED-HNN

[ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li

ma-compbio /MATCHA

multiway chromatin interaction, 3D genome, single-nucleus, hypergraph representation learning

stormwther18 /HYSET

Tools Are Not Islands: Set-Level Tool Retrieval for LLM Agents via Query-Conditioned Hyperedge Prediction

ritaranx /CACHE

[ML4H 2022] This is the code for our paper `Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions on EHR'.

hypernetwork-research-group /hypertorch

A library to train and benchmark Hypergraph Learning models.

giuliacassara /awesome-hypergraph-learning

A curated list of awesome Hypergraph Learning frameworks, libraries and software.

basiralab /HUNet

Deep hypergraph U-Net (HUNet) for brain graph embedding and classification.

YushengZhao /DyHSL

[ICDE 2023] Dynamic hypergraph structure learning for traffic flow forecasting

ycq091044 /LEGCN

CIKM2022: source code for "hypergraph learning with line expansion" paper

icmpnorequest /ICASSP2024_ASTHL

The official PyTorch implementation for 2024-ICASSP-Adaptive Spatial-Temporal Hypergraph Fusion Learning for Next POI Recommendation

Mengqi-Lei /Hypergraph-as-Language

Implementation of the paper Hypergraph as Language, including the code for Hyper-Align and HyperAlign-Bench.

Zilize /MHIM

Official PyTorch implementation for "Multi-grained Hypergraph Interest Modeling for Conversational Recommendation".

yy-ko /cash-tkde2025

cash

shan1322 /Hyperwalk

embeddings for hyperedges in a hypergraph

zhengyijia /CoNHD

[CIKM 2025] Modeling Edge-Specific Node Features through Co-Representation Neural Hypergraph Diffusion

AdarshShah /High-Order-Knowledge-Graph-Completion

Inductive Higher Order Knowledge Hypergraph Completion

Saury997 /TSLDSeg

[Pattern Recognition 2025] Official implementation of paper: "TSLDSeg: A Texture-aware and Semantic-enhanced Latent Diffusion Model for Medical Image Segmentation"

viktormiok /CoNI

Correlation guided Network Integration (CoNI) is an easy-to-use R package for the unsupervised integration of numerical omics datasets. Our tool is based on partial correlations.