4 papers
Weisfeiler and Lehman Go Categorical
Seongjin Choi, Gahee Kim, Se-Young Yun
While lifting map has significantly enhanced the expressivity of graph neural networks, extending this paradigm to hypergraphs remains fragmented. To address this, we introduce the…
Draw an Ugly Person An Exploration of Generative AIs Perceptions of Ugliness
Garyoung Kim, Huisung Kwon, Seoju Yun +1
Generative AI does not only replicate human creativity but also reproduces deep-seated cultural biases, making it crucial to critically examine how concepts like ugliness are under…
Non-backtracking Graph Neural Networks
Seonghyun Park, Narae Ryu, Gahee Kim +3
The celebrated message-passing updates for graph neural networks allow representing large-scale graphs with local and computationally tractable updates. However, the updates suffer…
Diffusion-based Episodes Augmentation for Offline Multi-Agent Reinforcement Learning
Jihwan Oh, Sungnyun Kim, Gahee Kim +2
Offline multi-agent reinforcement learning (MARL) is increasingly recognized as crucial for effectively deploying RL algorithms in environments where real-time interaction is impra…