Workshop
|
|
Explaining Drug Repositioning: A Case-Based Reasoning Graph Neural Network Approach
Adriana Carolina Gonzalez Cavazos
|
|
Workshop
|
|
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization
Yinbin Han · Meisam Razaviyayn · Renyuan Xu
|
|
Workshop
|
|
GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks
Taraneh Younesian · Thiviyan Thanapalasingam · Emile van Krieken · Daniel Daza · Peter Bloem
|
|
Workshop
|
|
CongFu: Conditional Graph Fusion for Drug Synergy Prediction
Oleksii Tsepa · Bohdan Naida · Anna Goldenberg · Bo Wang
|
|
Poster
|
Thu 8:45
|
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks
Yuhang Yao · Weizhao Jin · Srivatsan Ravi · Carlee Joe-Wong
|
|
Workshop
|
|
PINNs-Torch: Enhancing Speed and Usability of Physics-Informed Neural Networks with PyTorch
Reza Akbarian Bafghi · Maziar Raissi
|
|
Workshop
|
|
Elucidating the Relationship Between Climate Change and Poverty using Graph Neural Networks, Ensemble Models, and Remote Sensing Data
Parinthapat Pengpun · Alessandro Salatiello
|
|
Workshop
|
|
Curvature and Causal Inference in Network Data
Amirhossein Farzam · Allen Tannenbaum · Guillermo Sapiro
|
|
Workshop
|
|
Exploring Time Granularity on Temporal Graphs for Dynamic Link Prediction in Real-world Networks
Xiangjian Jiang · Yanyi Pu
|
|
Poster
|
Thu 15:00
|
The expressive power of pooling in Graph Neural Networks
Filippo Maria Bianchi · Veronica Lachi
|
|
Workshop
|
|
One Node Per User: Node-Level Federated Learning for Graph Neural Networks
zhidong gao · Yuanxiong Guo · Yanmin Gong
|
|
Workshop
|
Sat 12:01
|
GInX-Eval: Towards In-Distribution Evaluation of Graph Neural Network Explanations
Kenza Amara · Mennatallah El-Assady · Rex Ying
|
|