Summary of Gradient Inversion Attack on Graph Neural Networks, by Divya Anand Sinha et al.
Gradient Inversion Attack on Graph Neural Networksby Divya Anand Sinha, Yezi Liu, Ruijie Du, Yanning…
Summary of Correlation-aware Graph Convolutional Networks For Multi-label Node Classification, by Yuanchen Bei et al.
Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classificationby Yuanchen Bei, Weizhi Chen, Hao Chen, Sheng…
Summary of Effective Analog Ics Floorplanning with Relational Graph Neural Networks and Reinforcement Learning, by Davide Basso et al.
Effective Analog ICs Floorplanning with Relational Graph Neural Networks and Reinforcement Learningby Davide Basso, Luca…
Summary of Graph Neural Network-based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs, by Junliang Du et al.
Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphsby Junliang Du, Guiran…
Summary of Adaptive Hyper-graph Convolution Network For Skeleton-based Human Action Recognition with Virtual Connections, by Youwei Zhou and Tianyang Xu and Cong Wu and Xiaojun Wu and Josef Kittler
Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connectionsby Youwei Zhou, Tianyang…
Summary of Hyreal: Clustering Attributed Graph Via Hyper-complex Space Representation Learning, by Junyang Chen et al.
HyReaL: Clustering Attributed Graph via Hyper-Complex Space Representation Learningby Junyang Chen, Yang Lu, Mengke Li,…
Summary of Fed-ldr: Federated Local Data-infused Graph Creation with Node-centric Model Refinement, by Jiechao Gao et al.
Fed-LDR: Federated Local Data-infused Graph Creation with Node-centric Model Refinementby Jiechao Gao, Yuangang Li, Syeda…
Summary of Elu-gcn: Effectively Label-utilizing Graph Convolutional Network, by Jincheng Huang et al.
ELU-GCN: Effectively Label-Utilizing Graph Convolutional Networkby Jincheng Huang, Yujie Mo, Xiaoshuang Shi, Lei Feng, Xiaofeng…
Summary of High-pass Graph Convolutional Network For Enhanced Anomaly Detection: a Novel Approach, by Shelei Li et al.
High-Pass Graph Convolutional Network for Enhanced Anomaly Detection: A Novel Approachby Shelei Li, Yong Chai…
Summary of Understanding the Effect Of Gcn Convolutions in Regression Tasks, by Juntong Chen et al.
Understanding the Effect of GCN Convolutions in Regression Tasksby Juntong Chen, Johannes Schmidt-Hieber, Claire Donnat,…