Graph neural network – Page 9

July 13, 2025

Summary of Gitsr: Graph Interaction Transformer-based Scene Representation For Multi Vehicle Collaborative Decision-making, by Xingyu Hu et al.

GITSR: Graph Interaction Transformer-based Scene Representation for Multi Vehicle Collaborative Decision-makingby Xingyu Hu, Lijun Zhang,…

July 13, 2025

Summary of Lorentz-equivariant Quantum Graph Neural Network For High-energy Physics, by Md Abrar Jahin et al.

Lorentz-Equivariant Quantum Graph Neural Network for High-Energy Physicsby Md Abrar Jahin, Md. Akmol Masud, Md…

July 13, 2025

Summary of A General Recipe For Contractive Graph Neural Networks — Technical Report, by Maya Bechler-speicher and Moshe Eliasof

A General Recipe for Contractive Graph Neural Networks – Technical Reportby Maya Bechler-Speicher, Moshe EliasofFirst…

July 13, 2025

Summary of The Graph’s Apprentice: Teaching An Llm Low Level Knowledge For Circuit Quality Estimation, by Reza Moravej et al.

The Graph’s Apprentice: Teaching an LLM Low Level Knowledge for Circuit Quality Estimationby Reza Moravej,…

July 13, 2025

Summary of Mbexplainer: Multilevel Bandit-based Explanations For Downstream Models with Augmented Graph Embeddings, by Ashkan Golgoon et al.

MBExplainer: Multilevel bandit-based explanations for downstream models with augmented graph embeddingsby Ashkan Golgoon, Ryan Franks,…

July 13, 2025

Summary of Compositional Automata Embeddings For Goal-conditioned Reinforcement Learning, by Beyazit Yalcinkaya et al.

Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learningby Beyazit Yalcinkaya, Niklas Lauffer, Marcell Vazquez-Chanlatte, Sanjit A.…

July 13, 2025

Summary of Pushing the Limits Of All-atom Geometric Graph Neural Networks: Pre-training, Scaling and Zero-shot Transfer, by Zihan Pengmei et al.

Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling and Zero-Shot Transferby Zihan…

July 13, 2025

Summary of Gitsr: Graph Interaction Transformer-based Scene Representation For Multi Vehicle Collaborative Decision-making, by Xingyu Hu et al.

Summary of Lorentz-equivariant Quantum Graph Neural Network For High-energy Physics, by Md Abrar Jahin et al.

Summary of A General Recipe For Contractive Graph Neural Networks — Technical Report, by Maya Bechler-speicher and Moshe Eliasof

Summary of The Graph’s Apprentice: Teaching An Llm Low Level Knowledge For Circuit Quality Estimation, by Reza Moravej et al.

Summary of Mbexplainer: Multilevel Bandit-based Explanations For Downstream Models with Augmented Graph Embeddings, by Ashkan Golgoon et al.

Summary of Compositional Automata Embeddings For Goal-conditioned Reinforcement Learning, by Beyazit Yalcinkaya et al.

Summary of Pushing the Limits Of All-atom Geometric Graph Neural Networks: Pre-training, Scaling and Zero-shot Transfer, by Zihan Pengmei et al.

Summary of Reliable and Compact Graph Fine-tuning Via Graphsparse Prompting, by Bo Jiang et al.

Summary of Graph Neural Networks on Discriminative Graphs Of Words, by Yassine Abbahaddou et al.

Summary of Global Graph Counterfactual Explanation: a Subgraph Mapping Approach, by Yinhan He et al.