Summary of Federated Graph Learning with Structure Proxy Alignment, by Xingbo Fu et al.
Federated Graph Learning with Structure Proxy Alignmentby Xingbo Fu, Zihan Chen, Binchi Zhang, Chen Chen,…
Summary of Can Large Language Models Improve the Adversarial Robustness Of Graph Neural Networks?, by Zhongjian Zhang et al.
Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?by Zhongjian Zhang, Xiao…
Summary of Graph Neural Network Surrogate For Strategic Transport Planning, by Nikita Makarov et al.
Graph neural network surrogate for strategic transport planningby Nikita Makarov, Santhanakrishnan Narayanan, Constantinos AntoniouFirst submitted…
Summary of Towards Few-shot Self-explaining Graph Neural Networks, by Jingyu Peng et al.
Towards Few-shot Self-explaining Graph Neural Networksby Jingyu Peng, Qi Liu, Linan Yue, Zaixi Zhang, Kai…
Summary of Rsea-mvgnn: Multi-view Graph Neural Network with Reliable Structural Enhancement and Aggregation, by Junyu Chen et al.
RSEA-MVGNN: Multi-View Graph Neural Network with Reliable Structural Enhancement and Aggregationby Junyu Chen, Long Shi,…
Summary of Learning Rule-induced Subgraph Representations For Inductive Relation Prediction, by Tianyu Liu et al.
Learning Rule-Induced Subgraph Representations for Inductive Relation Predictionby Tianyu Liu, Qitan Lv, Jie Wang, Shuling…
Summary of Graph Neural Networks As Ordering Heuristics For Parallel Graph Coloring, by Kenneth Langedal and Fredrik Manne
Graph Neural Networks as Ordering Heuristics for Parallel Graph Coloringby Kenneth Langedal, Fredrik ManneFirst submitted…
Summary of Mds-gnn: a Mutual Dual-stream Graph Neural Network on Graphs with Incomplete Features and Structure, by Peng Yuan and Peng Tang
MDS-GNN: A Mutual Dual-Stream Graph Neural Network on Graphs with Incomplete Features and Structureby Peng…
Summary of Wav2graph: a Framework For Supervised Learning Knowledge Graph From Speech, by Khai Le-duc et al.
wav2graph: A Framework for Supervised Learning Knowledge Graph from Speechby Khai Le-Duc, Quy-Anh Dang, Tan-Hanh…
Summary of Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks, by Jie Peng et al.
Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networksby Jie Peng, Runlin Lei,…