Park, Namyong

7 publications

ICLR 2025 A Large-Scale Training Paradigm for Graph Generative Models Yu Wang, Ryan A. Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr

ICML 2024 Editing Partially Observable Networks via Graph Diffusion Models Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra

ICLR 2024 Forward Learning of Graph Neural Networks Namyong Park, Xing Wang, Antoine Simoulin, Shuai Yang, Grey Yang, Ryan A. Rossi, Puja Trivedi, Nesreen K. Ahmed

NeurIPS 2023 GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection Namyong Park, Ryan Rossi, Xing Wang, Antoine Simoulin, Nesreen K. Ahmed, Christos Faloutsos

ICMLW 2023 Memory-Efficient Selective Fine-Tuning Antoine Simoulin, Namyong Park, Xiaoyi Liu, Grey Yang

ICLR 2023 MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning Namyong Park, Ryan A. Rossi, Nesreen Ahmed, Christos Faloutsos

AAAI 2023 TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs Mirela T. Cazzolato, Saranya Vijayakumar, Xinyi Zheng, Namyong Park, Meng-Chieh Lee, Duen Horng Chau, Pedro Fidalgo, Bruno Lages, Agma J. M. Traina, Christos Faloutsos