Dustin Zelle

Publications by Year

Research Areas

Advanced Graph Neural Networks, Graph Theory and Algorithms, Domain Adaptation and Few-Shot Learning, Text and Document Classification Technologies, Topic Modeling

Most-Cited Works

• → DDGK: Learning Graph Representations for Deep Divergence Graph Kernels(2019)58 cited
• → TF-GNN: Graph Neural Networks in TensorFlow(2022)15 cited
• → Let Your Graph Do the Talking: Encoding Structured Data for LLMs(2024)6 cited
• → Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks(2022)4 cited
• → Learning Large Graph Property Prediction via Graph Segment Training(2023)1 cited
• → UGSL: A Unified Framework for Benchmarking Graph Structure Learning(2023)