• Home
  • Publications
  • Courses
  • Openings
  • Publications
    • Scalable Intelligence under Limited Supervision: Principles, Structures, and Adaptive Agents
    • PointNSP: Autoregressive 3D Point Cloud Generation with Next-Scale Level-of-Detail Prediction
    • Semi-supervised Instruction Tuning for Large Language Models on Text-Attributed Graphs
    • M2PG: MoE-based Adaptive Multi-Perspective Graph Fusion for Protein Representation Learning
    • Track and Tweak: Monitoring and Improving Group Fairness for Temporal Graph Neural Networks in Real Time
    • Domain-Adapted Diffusion Model for PROTAC Linker Design Through the Lens of Density Ratio in Chemical Space
    • Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification
    • FedEDM: Federated Equivariant Diffusion Model for 3D Molecule Generation with Enhanced Communication Efficiency
    • Context-aware Inductive Knowledge Graph Completion with Latent Type and Subgraph Reasoning
    • Geometric View of Soft Decorrelation in Self-Supervised Learning
    • A Systematic Survey on Federated Semi-supervised Learning
    • Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations
    • A Diffusion-based Pre-training Framework for Crystal Property Prediction
    • Tackling Long-tailed Distribution Issue in Graph Neural Networks via Normalization
    • Mitigating the Popularity Bias in Graph-based Collaborative Filtering
    • No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning
    • Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning
    • Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily
    • Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks
    • Contrastive Cross-scale Graph Knowledge Synergy
    • WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering
    • Graph Component Contrastive Learning for Concept Relatedness Estimation
    • SFA: Spectral Feature Augmentation for Graph Contrastive Learning
    • A Survey on Deep Semi-supervised Learning
    • Graph-based Semi-supervised Learning: A Comprehensive Review
    • COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning
    • Towards an Optimal Asymmetric Graph Structure for Robust Semi-supervised Node Classification
    • Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization
    • Semi-supervised Multi-label Learning for Graph-structured Data
  • Blog
    • 🚀 IEEE CIS Task Force on Data-efficient Agentic Learning is established and is actively recruiting members
    • 🎉 New homepage is live
  • Slides
    • Example Talk: Recent Work
  • Recent & Upcoming Talks
    • Create Beautiful Presentations with Markdown
  • Courses
  • Openings

COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning

August 2022·
Yifei Zhang
,
Hao Zhu
Zixing Song
Zixing Song
,
Piotr Koniusz
,
Irwin King
Paper
Type
Conference paper
Publication
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
publications
Last updated on August 2022
← Graph-based Semi-supervised Learning: A Comprehensive Review January 2023
Towards an Optimal Asymmetric Graph Structure for Robust Semi-supervised Node Classification August 2022 →