A sequence-graph model using gated modulation of methylation signals by eight handcrafted DNA sequence features achieves 3.149 years MAE on 3707 samples, a 12.8% gain over graph baselines.
Multimodal learning with graphs
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RoleMAG learns neighbor roles in multimodal graphs to route shared, complementary, and heterophilous signals through separate channels, improving propagation without modality interference.
GaRA generates task-specific LoRA weight updates conditioned on graph structures to enable better whole-graph encoding in LLMs for zero-shot graph learning.
Empirical comparison shows gradient-based explanations for GNN node similarities are actionable, consistent, and retain effects when sparsified, unlike mutual information explanations.
Hybrid knowledge graph embeddings fused with vision transformer features outperform standard techniques on abstract concept classification by integrating situated perceptual knowledge from a new cultural image resource.
citing papers explorer
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Bridging Sequence and Graph Structure for Epigenetic Age Prediction
A sequence-graph model using gated modulation of methylation signals by eight handcrafted DNA sequence features achieves 3.149 years MAE on 3707 samples, a 12.8% gain over graph baselines.
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RoleMAG: Learning Neighbor Roles in Multimodal Graphs
RoleMAG learns neighbor roles in multimodal graphs to route shared, complementary, and heterophilous signals through separate channels, improving propagation without modality interference.
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Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation
GaRA generates task-specific LoRA weight updates conditioned on graph structures to enable better whole-graph encoding in LLMs for zero-shot graph learning.