Summary of Emt: a Novel Transformer For Generalized Cross-subject Eeg Emotion Recognition, by Yi Ding et al.
EmT: A Novel Transformer for Generalized Cross-subject EEG Emotion Recognitionby Yi Ding, Chengxuan Tong, Shuailei…
Summary of Kagnns: Kolmogorov-arnold Networks Meet Graph Learning, by Roman Bresson and Giannis Nikolentzos and George Panagopoulos and Michail Chatzianastasis and Jun Pang and Michalis Vazirgiannis
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learningby Roman Bresson, Giannis Nikolentzos, George Panagopoulos, Michail Chatzianastasis, Jun…
Summary of Meta-gcn: a Dynamically Weighted Loss Minimization Method For Dealing with the Data Imbalance in Graph Neural Networks, by Mahdi Mohammadizadeh et al.
Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing with the Data Imbalance in Graph…
Summary of Heuristic Learning with Graph Neural Networks: a Unified Framework For Link Prediction, by Juzheng Zhang et al.
Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Predictionby Juzheng Zhang, Lanning…
Summary of Transfer Entropy in Graph Convolutional Neural Networks, by Adrian Moldovan et al.
Transfer Entropy in Graph Convolutional Neural Networksby Adrian Moldovan, Angel Caţaron, Răzvan AndonieFirst submitted to…
Summary of Gkan: Graph Kolmogorov-arnold Networks, by Mehrdad Kiamari et al.
GKAN: Graph Kolmogorov-Arnold Networksby Mehrdad Kiamari, Mohammad Kiamari, Bhaskar KrishnamachariFirst submitted to arxiv on: 10…
Summary of Learning Divergence Fields For Shift-robust Graph Representations, by Qitian Wu et al.
Learning Divergence Fields for Shift-Robust Graph Representationsby Qitian Wu, Fan Nie, Chenxiao Yang, Junchi YanFirst…
Summary of Graph Neural Networks Do Not Always Oversmooth, by Bastian Epping et al.
Graph Neural Networks Do Not Always Oversmoothby Bastian Epping, Alexandre René, Moritz Helias, Michael T.…
Summary of Certifying Robustness Of Graph Convolutional Networks For Node Perturbation with Polyhedra Abstract Interpretation, by Boqi Chen et al.
Certifying Robustness of Graph Convolutional Networks for Node Perturbation with Polyhedra Abstract Interpretationby Boqi Chen,…
Summary of Grasp-gcn: Graph-shape Prioritization For Neural Architecture Search Under Distribution Shifts, by Sofia Casarin et al.
GRASP-GCN: Graph-Shape Prioritization for Neural Architecture Search under Distribution Shiftsby Sofia Casarin, Oswald Lanz, Sergio…