Scholar
Xingyue Huang
Google Scholar ID: qah4McsAAAAJ
University of Oxford
Graph neural network
Knowledge graphs
Machine learning
Deep learning
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Citations & Impact
All-time
Citations
144
H-index
6
i10-index
5
Publications
16
Co-authors
10
list available
Publications
15 items
To Learn is to Wander: Learning Across Graphs and Tasks with Random Walks
2026
Cited
0
What are the Right Symmetries for Formal Theorem Proving?
2026
Cited
0
RelAgent: LLM Agents as Data Scientists for Relational Learning
2026
Cited
0
Threshold Differential Attention for Sink-Free, Ultra-Sparse, and Non-Dispersive Language Modeling
2026
Cited
1
Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings
2025
Cited
0
Flock: A Knowledge Graph Foundation Model via Learning on Random Walks
2025
Cited
0
Of Graphs and Tables: Zero-Shot Node Classification with Tabular Foundation Models
2025
Cited
0
Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers
2025
Cited
0
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Co-authors
9 total
İsmail İlkan Ceylan
Departmental Lecturer, University of Oxford
Michael Bronstein
DeepMind Professor of AI, University of Oxford / Scientific Director, AITHYRA
Pablo Barceló
Institute for Mathematical and Computational Engineering, PUC Chile & IMFD Chile & CENIA Chile
Miguel Romero Orth
Department of Computer Science, Pontificia Universidad Católica de Chile
Ben Finkelshtein
PhD student, University of Oxford
Mikhail Galkin
Research Scientist, Google
Juan Reutter
Professor, Computer Science at Pontificia Universidad Católica de Chile & IMFD Chile
Zifeng Ding
University of Cambridge, Ludwig Maximilian University of Munich