BHyGNN+: Unsupervised Representation Learning for Heterophilic Hypergraphs | ScienceToStartup | ScienceToStartup

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References (61)

[1]

Molecular Representations in Implicit Functional Space via Hyper-Networks

2026Zehong Wang, Xiaolong Han et al.

[2]

AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering

2025Zheyuan Zhang, Kaiwen Shi et al.

[3]

Generative Graph Pattern Machine

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"Develop a self-supervised learning framework for heterophilic hypergraphs using hypergraph duality transformation to enhance representation learning."

Graph Neural Networks•Score: 5•View PDF ↗

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BHyGNN+: Unsupervised Representation Learning for Heterophilic Hypergraphs

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References (61)

Founder's Pitch

"Develop a self-supervised learning framework for heterophilic hypergraphs using hypergraph duality transformation to enhance representation learning."

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