Summary of Graph Condensation For Open-world Graph Learning, by Xinyi Gao et al.
Graph Condensation for Open-World Graph Learningby Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo…
Graph Condensation for Open-World Graph Learningby Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo…
Dual-State Personalized Knowledge Tracing with Emotional Incorporationby Shanshan Wang, Fangzheng Yuan, Keyang Wang, Xun Yang,…
Pretraining with Random Noise for Fast and Robust Learning without Weight Transportby Jeonghwan Cheon, Sang…
Higher-Order Transformer Derivative Estimates for Explicit Pathwise Learning Guaranteesby Yannick Limmer, Anastasis Kratsios, Xuwei Yang,…
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Searchby Max Liu, Chan-Hung Yu,…
Inaccurate Label Distribution Learning with Dependency Noiseby Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin GengFirst…
Causal-aware Graph Neural Architecture Search under Distribution Shiftsby Peiwen Li, Xin Wang, Zeyang Zhang, Yijian…
Causal Concept Graph Models: Beyond Causal Opacity in Deep Learningby Gabriele Dominici, Pietro Barbiero, Mateo…
When does compositional structure yield compositional generalization? A kernel theoryby Samuel Lippl, Kim StachenfeldFirst submitted…
AdaFisher: Adaptive Second Order Optimization via Fisher Informationby Damien Martins Gomes, Yanlei Zhang, Eugene Belilovsky,…