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cs.LG2026
Temporal Heterogeneous Graph Pretraining for Relational Deep Learning
Yixin Peng, Er Jin, Diego Collarana +1
Relational deep learning models database rows and foreign-key links as a heterogeneous graph for prediction from record attributes and relational context. These graphs contain two…
cs.CL2026
VisKG-LM: Compiling Knowledge Graphs into Visual Memory for Multiple-Choice Question Answering
Yixin Peng, Er Jin, Shiwei Luo +2
Knowledge graphs are usually integrated into question answering by encoding a retrieved subgraph with a graph neural network and fusing it with the language model in the online inf…
cs.LG2026
THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model
Yixin Peng, Diego Collarana, Er Jin +1
Temporal heterogeneous graphs offer a natural abstraction for dynamic relational systems in which diverse node and relation types co-exist and evolve over time. Learning on such gr…