Publication

Graph Component Contrastive Learning for Concept Relatedness Estimation   (AAAI 2023)

Spectral Feature Augmentation for Graph Contrastive Learning and Beyond   (AAAI 2023)

Multimodality in Meta-Learning: A Comprehensive Survey   (Knowledge-Based Systems)

Momentum Contrastive Pre-training for Question Answering   (EMNLP 2022)

Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization   (AAAI 2022)

Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation   (KDD 2022)

Towards an Optimal Asymmetric Graph Structure for Robust Semi-supervised Node Classification   (KDD 2022)

Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation   (WSDM 2022)

HICF: Hyperbolic Informative Collaborative Filtering   (KDD 2022)

HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization   (TheWebConf 2022)

COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning   (KDD 2022)

Graph-adaptive Rectified Linear Unit for Graph Neural Networks   (TheWebConf 2022)

DeepCURATER: Deep Learning for CoURse And Teaching Evaluation and Review   (TALE 2021)

Semi-supervised Multi-label Learning for Graph-structured Data   (CIKM 2021)

Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation   (ICDE 2021)

MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding