[3.6] Chapter 22 | Graph Neural Networks in Program Analysis [3.7] PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair (neurips.cc) [3.8] The Tolman-Eichenbaum Machine: Unifying Space and Relational Memory through Generalization in the Hippocampal Formation: Cell ...
探索偏差:特别是在EGNN(Equivariant Graph Neural Networks)中,由于其特定的等变计算性质,在学习的早期阶段会导致探索偏差,从而影响智能体发现最优策略的能力。 为了解决这些问题,论文提出了一种新的网络结构——探索增强的等变图神经网络(E2GN2),它通过以下方式来提高样本效率和泛化能力: 引入等变图神经网络(EGNN),...
Focusing on the problems, we propose a leader-follower flocking algorithm based on a novel reinforcement learning (RL) model. We construct a homogeneous graph neural network (GNN) based multi-agent deep deterministic policy gradient (herein HGNN-MADDPG) algorithm model for multi-agent flocking ...
Fig. 2. Node groups in a connectivity graph. A sub-system of WVMT called Web-based CAM (WCAM) was subsequently developed for graphic animation of machining processes in real-time by distributing the data load to a middleware translator, Common Object Request Broker Architecture (CORBA) [36]....
其中,图神经网络 (Graph Neural Networks, GNNs) 作为最先进 (SOTA) 的方法脱颖而出 (Dai et al., 2022; Liu et al., 2022)。GNNs 采用消息传递机制,允许节点与其邻居交换信息,有效捕捉图的结构特征并增强表示学习。然而,它们主要关注显式的图连接,往往忽略了与链接文本数据相关的复杂语义依赖关系。此外,GNNs...
marks like ImageNet (Russakovsky et al.,2015), GLUE (Wang et al.,2019), and the benchmarks in graph learning (Dwivedi et al.,2023; Hu et al.,2020) have been pivotal to the rapid innovation in the fields of computer vision, natural language processing, and graph neural networks....
marks like ImageNet (Russakovsky et al.,2015), GLUE (Wang et al.,2019), and the benchmarks in graph learning (Dwivedi et al.,2023; Hu et al.,2020) have been pivotal to the rapid innovation in the fields of computer vision, natural language processing, and graph neural networks....
Mastering Complex Coordination Through Attention-Based Dynamic Graph Guangchong Zhou, Zhiwei Xu, Zeren Zhang, Guoliang Fan 2023 Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning Zikang Tian, Rui Chen, Xing...
LangGraph:用于以图的方式将多个基于大语言模型的智能应用组合在一起; LangServe:用于将LangChain应用部署为REST API的服务; LangSmith:开发者平台,用于调试、评估和监控基于大语言模型构建的应用。 LangChain包含以下核心组件: Model,表示大语言模型; Prompt,表示提示; Tool,表示工具; Chain,表示将Model、Tool等组件...
decentralized policies that operate based on local observations and messages received from network neighbors Graph Neural Networks a scalable framework that can naturally process information within the coordination graph in an expressive manner. Graph neural networks (GNNs) are a fundamental tool for handli...