Topological Deep Learning
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Updated
Nov 18, 2024 - Jupyter Notebook
Topological Deep Learning
[ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
multiway chromatin interaction, 3D genome, single-nucleus, hypergraph representation learning
[ML4H 2022] This is the code for our paper `Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions on EHR'.
Deep hypergraph U-Net (HUNet) for brain graph embedding and classification.
A curated list of awesome Hypergraph Learning frameworks, libraries and software.
CIKM2022: source code for "hypergraph learning with line expansion" paper
Official PyTorch implementation for "Multi-grained Hypergraph Interest Modeling for Conversational Recommendation".
embeddings for hyperedges in a hypergraph
The official PyTorch implementation for 2024-ICASSP-Adaptive Spatial-Temporal Hypergraph Fusion Learning for Next POI Recommendation
Inductive Higher Order Knowledge Hypergraph Completion
Implementation library for Hypergraph Simultaneous Generators.
Correlation Guided Network Integration
C3MM: Clique-Closure based Hyperlink Prediction
Python implementation of <Exploring High-Order Correlations for Industry Anomaly Detection>
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