Attentional multilabel learning over graphs: a message passing approach

Generalized Sparse Learning of Linear Models Over the Complete Subgraph Feature Set

(2017) Ichigaku Takigawa et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks

(2017) Marwin H. S. Segler et al.   ACS Central Science

HCP: A Flexible CNN Framework for Multi-Label Image Classification

(2016) Yunchao Wei et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

An extensive experimental comparison of methods for multi-label learning

(2012) Gjorgji Madjarov et al.   PATTERN RECOGNITION

HIPPIE: Integrating Protein Interaction Networks with Experiment Based Quality Scores

(2012) Martin H. Schaefer et al.   PLoS One

gMLC: a multi-label feature selection framework for graph classification

(2011) Xiangnan Kong et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Canonical Correlation Analysis for Multilabel Classification: A Least-Squares Formulation, Extensions, and Analysis

(2010) Liang Sun et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

The Graph Neural Network Model

(2008) F. Scarselli et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Multilabel classification via calibrated label ranking

(2008) Johannes Fürnkranz et al.   MACHINE LEARNING