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Hao Wan

2 accepted papers

2026

Large Language Models as Topological Thinkers: A Benchmark on Graph Persistent Homology

ICML 2026poster

Large language models (LLMs) are increasingly used in scientific discovery, system modeling, and decision-making, prompting interest in their ability to reason over complex structured data. Existing benchmarks primarily focus on static or local graph reasoning, overlooking the high-order structures …

Cited by 0SourceScholar
2025

TMetaNet: Topological Meta-Learning Framework for Dynamic Link Prediction

ICML 2025poster

Dynamic graphs evolve continuously, presenting challenges for traditional graph learning due to their changing structures and temporal dependencies. Recent advancements have shown potential in addressing these challenges by developing suitable meta-learning-based dynamic graph neural network models.…