Solving the resource constrained project scheduling problem (RCPSP) with D-Wave’s hybrid constrained quadratic model (CQM) Luis Fernando PÉREZ ARMAS, Ph.D. August 20, 2024 29 min read Back To Basics, Part Uno: Linear Regression and Cost Function Data Science An illustrated guide...
一些作品通过精心设计的GNN模块(需要专业知识),结合知识来提供特定证据,从而改进了PLMs。在本文中,我们提出了一种简单的知识参数高效微调网络,将PLM与外部知识相结合,用于常识性问题解答。具体来说,我们设计了一个可训练的参数共享适配器,该适配器与参数冻结PLM相连,以较小的成本纳入知识。该适配器通过两个与知识相关...
Whoever Started the Interference Should End It: Guiding Data-Free Model Merging via Task Vectors 2025 Arxiv WizardLM-13B (LM), WizardMath-13B (Math), and llama-2-13bcodealpaca (Code) GNNMERGE: Merging of GNN Models Without Accessing Training Data 2025 Arxiv MERGE3: Efficient Evolutionary ...
Below are the SMILES strings for molecule 1737 from Tox21. c1ccc2cc(CC3=NCCN3)ccc2c1OClSNCCCNCCNCCNCCNC=CC.C=CC.CCC.O=CO Original SMILES LLM-GCE's SMILES CF_GNNExplainer's SMILES In this example, we see that, while LLM-GCE is unable to construct a valid counterfactual, and it ...
SUGRE [Kang et al., 2023]使用图神经网络(Graph neural Networks, gnn)对相关KG子图进行编码,通过多模态对比学习确保检索事实与生成文本之间的一致性。KnowledGPT [Wang et al., 2023]生成知识库搜索查询,并将知识存储在个性化库中,增强了RAG模型的知识丰富度和上下文性。 LLMs-Generated Content in RAG ...
GML: Graph modelling language. Read graphs in GML format. PyG: GNNs + LLMs: Examples for Co-training LLMs and GNNs 👍 Contributions to this repository are welcome! If you have come across relevant resources, feel free to open an issue or submit a pull request....