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PMLP. This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs".
91PENCIL. This is the official implementation for paper "PENCIL: Long Thoughts with Short Memory".
81AP-MDM. This is the official implementation for paper "On Powerful Ways to Generate: Autoregression, Diffusion, and Beyond".
23Caseq. The official implementation for "Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment" which is accepted to NeurIPS 2022.
22GKD. The official implementation for "Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks" which is accepted to NeurIPS 2022.
22ResidualPropagation. This is the official implementation for paper "How Graph Neural Networks Learn: Lessons from Training Dynamics".
10CoT-ICL. This is the official code for "Chain-of-Thought Provably Enables Learning the (Otherwise) Unlearnable" in ICLR 2025
6RecursiveModel. Python
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