Summary of Enhancing Chess Reinforcement Learning with Graph Representation, by Tomas Rigaux et al.
Enhancing Chess Reinforcement Learning with Graph Representationby Tomas Rigaux, Hisashi KashimaFirst submitted to arxiv on:…
Summary of Exploring Consistency in Graph Representations:from Graph Kernels to Graph Neural Networks, by Xuyuan Liu et al.
Exploring Consistency in Graph Representations:from Graph Kernels to Graph Neural Networksby Xuyuan Liu, Yinghao Cai,…
Summary of Towards Dynamic Message Passing on Graphs, by Junshu Sun et al.
Towards Dynamic Message Passing on Graphsby Junshu Sun, Chenxue Yang, Xiangyang Ji, Qingming Huang, Shuhui…
Summary of Vision Paper: Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Act, by Barbara Hoffmann et al.
Vision Paper: Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Actby Barbara…
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…
Summary of Reliable and Compact Graph Fine-tuning Via Graphsparse Prompting, by Bo Jiang et al.
Reliable and Compact Graph Fine-tuning via GraphSparse Promptingby Bo Jiang, Hao Wu, Beibei Wang, Jin…
Summary of Graph Sparsification For Enhanced Conformal Prediction in Graph Neural Networks, by Yuntian He et al.
Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networksby Yuntian He, Pranav Maneriker, Anutam…
Summary of Strada-llm: Graph Llm For Traffic Prediction, by Seyed Mohamad Moghadas et al.
Strada-LLM: Graph LLM for traffic predictionby Seyed Mohamad Moghadas, Yangxintong Lyu, Bruno Cornelis, Alexandre Alahi,…
Summary of Graph Neural Networks on Discriminative Graphs Of Words, by Yassine Abbahaddou et al.
Graph Neural Networks on Discriminative Graphs of Wordsby Yassine Abbahaddou, Johannes F. Lutzeyer, Michalis VazirgiannisFirst…
Summary of Decaf: a Causal Decoupling Framework For Ood Generalization on Node Classification, by Xiaoxue Han et al.
DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classificationby Xiaoxue Han, Huzefa Rangwala,…