Tag: Causal Graph Neural Networks
Browse our exclusive articles!
Integrating Sequence and Graphs for Accurate Epigenetic Age
Discover a novel method combining DNA sequences and graph structures to improve epigenetic age prediction with higher accuracy and biological insights.
PrimeKG-CL: Benchmark for Continual Learning on Biomedical Graphs
Discover PrimeKG-CL, a benchmark for continual graph learning on evolving biomedical knowledge graphs with multimodal features and temporal snapshots.
Multi-Relational Graphs for DNA Methylation Age Estimation
Discover how multi-relational graph neural networks improve DNA methylation-based biological age prediction with enhanced accuracy and insights.
Benchmarking Graph Anomaly Detection for Real-World Use
Explore a new benchmark evaluating graph anomaly detection models on million-node graphs with scarce anomalies and missing data.
Unified Benchmark for Knowledge Graphs & GNN Evaluation
Discover a unified benchmark to evaluate knowledge graph construction methods and graph neural networks in biomedical AI applications.