conftrace_

Dustin Zelle

2 papers · 2022–2023 · 1 venue · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Venues

Top co-authors

Bryan Perozzi (2) Kaidi Cao (1) Charith Mendis (1) Minji Yoon (1) Yanqi Zhou (1) Sami Abu-El-Haija (1) Jure Leskovec (1) John Palowitch (1) Ziniu Hu (1) Mangpo Phothilimthana (1)

Research topics

Deep Learning (2) Architectures (2) Learning Types · Deep Learning (2) Artificial Intelligence (1) Machine Learning (1) Application Areas (1) Learning Paradigms (1) Learning Types · Machine Learning (1)

Keywords

transfer learning (2) representation learning (1) zero-shot learning (1) knowledge transfer (1) graph representation learning (1) memory efficiency (1) heterogeneous graph neural network (1) zero-shot transfer learning (1) graph neural network (1) knowledge transfer network (1) model compression (1) graph property prediction (1)

Papers

Learning Large Graph Property Prediction via Graph Segment Training NeurIPS 2023 Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks NeurIPS 2022