Hypergraph Neural Networks (AAAI 2019)
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Updated
Aug 31, 2022 - Python
Hypergraph Neural Networks (AAAI 2019)
Topological Deep Learning
A pytorch library for graph and hypergraph computation.
Computing on Topological Domains
This is the official implementation of our paper "Hypergraph Transformer for Skeleton-based Action Recognition."
Representation Learning on Topological Domains
TopoBenchmarkX is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning
[ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch
[ACL 2023] Official resources of "HAHE: Hierarchical Attention for Hyper-Relational Knowledge Graphs in Global and Local Level".
Official PyTorch implementation for "Multi-grained Hypergraph Interest Modeling for Conversational Recommendation".
The code of paper: Hypergraph Association Weakly Supervised Crowd Counting
[ECCV 2024]Temporary code for "Ad-HGformer: An Adaptive HyperGraph Transformer for Skeletal Action Recognition"
Matlab Script for Image Processing. It retrieves images that are most similar to a target image (ΑΝΑΛΥΣΗ ΕΙΚΟΝΑΣ)
[SIGIR 2024] CaDRec: Contextualized and Debiased Recommender Model
POC of the Multi-level Hypergraph structure for Ontology and Machine Learning
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