Abstract: The performance of current scene graph generation models is affected by training with cross-entropy loss, exacerbating the problem of prediction bias stemming from biased training data.
Abstract: Recent advances in graph neural network (GNN) architectures and increased computation power have revolutionized the field of combinatorial optimization (CO). Among the proposed models for CO ...
This repository contains the code implementation of LLM4DyG as described in the paper: LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs? (KDD 2024). In an era ...
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