Shenyang Huang
Scholar

Shenyang Huang

Google Scholar ID: ljIXv6kAAAAJ
University of Oxford, McGill University, Montreal Institute for Learning Algorithms (Mila)
Dynamic GraphsGraph Neural NetworksAnomaly DetectionDisease ModellingContinual Learning
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
672
 
H-index
11
 
i10-index
12
 
Publications
20
 
Co-authors
51
list available
Contact
No contact links provided.
Publications
7 items
TGM: a Modular and Efficient Library for Machine Learning on Temporal Graphs
2025
Cited
0
CrediBench: Building Web-Scale Network Datasets for Information Integrity
2025
Cited
0
Self-Exploring Language Models for Explainable Link Forecasting on Temporal Graphs via Reinforcement Learning
2025
Cited
0
T-GRAB: A Synthetic Diagnostic Benchmark for Learning on Temporal Graphs
2025
Cited
0
Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures
2025
Cited
0
Are Large Language Models Good Temporal Graph Learners?
2025
Cited
0
MiNT: Multi-Network Training for Transfer Learning on Temporal Graphs
2024
Cited
0
Resume (English only)
Co-authors
51 total
Reihaneh Rabbany
Reihaneh Rabbany
Assistant Professor of Computer Science, McGill University; Canada CIFAR AI Chair, Mila
Guillaume Rabusseau
Guillaume Rabusseau
Assistant Professor - Canada CIFAR AI Chair, Université de Montréal / Mila
Farimah Poursafaei
Farimah Poursafaei
Mila, Quebec AI Institute & McGill University
Michael Bronstein
Michael Bronstein
DeepMind Professor of AI, University of Oxford / Scientific Director, AITHYRA
Emanuele Rossi
Emanuele Rossi
Postdoctoral Researcher @ Sapienza University
Co-author 6
Co-author 6
Jure Leskovec
Jure Leskovec
Professor of Computer Science, Stanford University
Matthias Fey
Matthias Fey
Founding Engineer @ kumo.ai