Jiarui Feng

1. One for All: Towards Training One Graph Model for All Classification Tasks
   2023/09/29 by Hao Liu, Jiarui Feng, Liu, Hao +11 · 39 citations
   Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
2. How Powerful are K-hop Message Passing Graph Neural Networks
   2022/05/26 by Jiarui Feng, Feng, Jiarui, Yixin Chen +7 · 6 citations
   Computer Science · Engineering · #Advanced Graph Neural Networks #Advanced Memory and Neural Computing #Graph Theory and Algorithms
3. Can Graph Learning Improve Planning in LLM-based Agents?
   2024/05/29 by Xixi Wu, Yifei Shen, Wu, Xixi +19 · 10 citations
   Computer Science · #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG) #Online Learning and Analytics
4. GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
   2024/07/12 by Lecheng Kong, Jiarui Feng, Kong, Lecheng +11 · 9 citations
   Computer Science · #Semantic Web and Ontologies #Topic Modeling #Advanced Graph Neural Networks
5. Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman
   2023/06/05 by Jiarui Feng, Feng, Jiarui, Lecheng Kong +11 · 3 citations
   Computer Science · Engineering · #Advanced Graph Neural Networks #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
6. TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models
   2024/06/20 by Jiarui Feng, Feng, Jiarui, Hao Liu +8 · 2 citations
   Computer Science · #Advanced Graph Neural Networks
7. Reward Delay Attacks on Deep Reinforcement Learning
   2022/09/08 by Anindya Sarkar, Jiarui Feng, Sarkar, Anindya +7 · 1 citation
   Computer Science · Medicine · Neuroscience · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Cardiac electrophysiology and arrhythmias #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural dynamics and brain function