Summary of Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks, by Zhe Zhao et al.
Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networksby Zhe Zhao, Pengkun Wang, Xu Wang,…
Summary of Fedtad: Topology-aware Data-free Knowledge Distillation For Subgraph Federated Learning, by Yinlin Zhu et al.
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learningby Yinlin Zhu, Xunkai Li, Zhengyu Wu,…
Summary of Granola: Adaptive Normalization For Graph Neural Networks, by Moshe Eliasof et al.
GRANOLA: Adaptive Normalization for Graph Neural Networksby Moshe Eliasof, Beatrice Bevilacqua, Carola-Bibiane Schönlieb, Haggai MaronFirst…
Summary of Improving the Interpretability Of Gnn Predictions Through Conformal-based Graph Sparsification, by Pablo Sanchez-martin et al.
Improving the interpretability of GNN predictions through conformal-based graph sparsificationby Pablo Sanchez-Martin, Kinaan Aamir Khan,…
Summary of You Do Not Have to Train Graph Neural Networks at All on Text-attributed Graphs, by Kaiwen Dong et al.
You do not have to train Graph Neural Networks at all on text-attributed graphsby Kaiwen…
Summary of Graph Neural Network-based Surrogate Modelling For Real-time Hydraulic Prediction Of Urban Drainage Networks, by Zhiyu Zhang et al.
Graph neural network-based surrogate modelling for real-time hydraulic prediction of urban drainage networksby Zhiyu Zhang,…
Summary of Graph Neural Networks For Protein-protein Interactions — a Short Survey, by Mingda Xu et al.
Graph Neural Networks for Protein-Protein Interactions – A Short Surveyby Mingda Xu, Peisheng Qian, Ziyuan…
Summary of Two-stage Stance Labeling: User-hashtag Heuristics with Graph Neural Networks, by Joshua Melton et al.
Two-Stage Stance Labeling: User-Hashtag Heuristics with Graph Neural Networksby Joshua Melton, Shannon Reid, Gabriel Terejanu,…
Summary of Degnn: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise, by Tai Hasegawa et al.
DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noiseby Tai Hasegawa,…
Summary of Relational Prompt-based Pre-trained Language Models For Social Event Detection, by Pu Li et al.
Relational Prompt-based Pre-trained Language Models for Social Event Detectionby Pu Li, Xiaoyan Yu, Hao Peng,…