Tag: Causal Graph Neural Networks
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Eidolon: Post-Quantum Signature Scheme Using k-Colorability
Discover Eidolon, a post-quantum signature scheme leveraging k-colorability and graph neural networks to secure digital communications against quantum thre...
Multi-Graph Reasoning with Vision-Language Models Benchmark
Explore the first benchmark for multi-graph reasoning using Vision-Language Models, enhancing graph understanding and cross-modal intelligence.
Adaptive Control for Distance-Misaligned Graph Transformers
Explore adaptive graph-aware control to improve Graph Transformer training by aligning communication with task-specific distance requirements.
Mochi: Efficient Graph Models via Meta-Learning Alignment
Discover Mochi, a meta-learning framework that aligns pre-training and inference for faster, more efficient graph foundation models with superior performan...
Evaluating Graph Neural Networks for Bitcoin Fraud Detection
Discover why Graph Neural Networks may underperform in Bitcoin fraud detection under temporal shifts and how feature-only models excel.