Workshop
|
|
Graph Transformation Augmentation for Contrastive Learning of Graph-Level Representation: An Initial Exploration
Tianchao Li · Yulong Pei
|
|
Affinity Event
|
|
Task-Graph and SAC-Based Meta-Learning for Optimized Robotic Task Transfer
Sofanit Wubeshet Beyene · Bizu Melesse Birru
|
|
Workshop
|
|
DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks
Wei Cui · Yi Sui · Jesse Cresswell · Keyvan Golestan
|
|
Poster
|
Wed 11:00
|
Bridging OOD Detection and Generalization: A Graph-Theoretic View
Han Wang · Sharon Li
|
|
Poster
|
Fri 11:00
|
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution
Cong Xu · Jun Wang · Jianyong Wang · Wei Zhang
|
|
Workshop
|
|
Federated GNNs for EEG-Based Stroke Assessment
Andrea Protani · Lorenzo Giusti · Albert Sund Aillet · Simona Sacco · Paolo Manganotti · Lucio Marinelli · Diogo Reis Santos · Pierpaolo Brutti · Pietro Caliandro · Luigi Serio
|
|
Poster
|
Thu 16:30
|
Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos
Luigi Seminara · Giovanni Maria Farinella · Antonino Furnari
|
|
Poster
|
Wed 11:00
|
Efficient Graph Matching for Correlated Stochastic Block Models
Shuwen Chai · Miklos Z. Racz
|
|
Affinity Event
|
|
Graph Neural Network-Enhanced Multi-Task Learning for Menstrual Disorder Prediction Using Multi-Omics Data
Comfort Adesina
|
|
Workshop
|
|
Unsupervised Learning of Categorical Structure
Matteo Alleman · Stefano Fusi
|
|
Poster
|
|
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings
Duo Wang · Yuan Zuo · Fengzhi Li · Junjie Wu
|
|
Workshop
|
|
A Graph Matching Approach to Balanced Data Sub-Sampling for Self-Supervised Learning
Hugues Van Assel · Randall Balestriero
|
|