Author

Zezhong Ding

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#machine learning May 2026

Gaussian Relational Graph Transformer

GelGT introduces a structure-semantic collaborative sampling strategy to preserve structural connectivity while filtering irrelevant semantic information, and incorporates a Gaussian graph attention mechanism with a learnable Gaussian bias on the sampled subgraphs to dynamically encode temporal dependencies.

Zezhong Ding, Jin Li, Xugang Wang et al. · arXiv.org · 0 citations

#artificial intelligence Preprint Sep 2026

WorldGraph: Graph-Native World Modeling

World models infer latent states of an environment to capture its underlying dynamics and predict future evolution. Many real-world environments, however, are inherently relational and observed as evolving graphs, where entities, relations, and their properties change over time. Prior graph-related world models use gra...

Zezhong Ding, Yi-Peng Li, Xi-Ke Xie · 0 citations