A-A PROPERTIES
A-A Properties buys and sells houses on owner financing. They provide a valuable resource for home sellers and real estate investors. They buy homes fast and hassle-free. They provide certainty in an uncertain real estate or financial market.
A-A PROPERTIES
Social Links:
Industry:
Financial Services Real Estate Real Estate Investment Residential
Address:
Humble, Texas, United States
Country:
United States
Website Url:
http://www.a-aprop.com
Total Employee:
101+
Status:
Active
Contact:
+1 281 995 7003
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More informations about "A-A Properties"
LARS-research/AdaProp - GitHub
[KDD 2023] AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning - LARS-research/AdaPropSee details»
KDD 2023 - AdaProp: Learning Adaptive Propagation for Graph
Jul 12, 2023 Yongqi Zhang, 4Paradigm Inc. Existing GNN-based methods for KG reasoning use hand-designed propagation paths, ignoring the correlation between the entities a...See details»
Some questions about paper and code #10 - GitHub
Oct 29, 2024 First of all, thank you very much for making your code available and for the interesting work presented in your paper "AdaProp: Learning Adaptive Propagation for Graph …See details»
[2205.15319] AdaProp: Learning Adaptive Propagation for Graph …
May 30, 2022 Due to the popularity of Graph Neural Networks (GNNs), various GNN-based methods have been designed to reason on knowledge graphs (KGs). An important design …See details»
Adaptive Graph Neural Network with Incremental Learning ... - MDPI
Jul 15, 2024 A knowledge graph is a graph-based representation and organization method for describing entities (such as people, places, and things) ... To address the challenge, AdaProp …See details»
AdaProp: Learning Adaptive Propagation for Graph Neural …
In comparison, AdaProp achieves leading performance on WN18RR, NELL-995 and YAGO3-10 over all the baselines and slightly outperforms NBFNet on FB15k237. Besides, AdaProp also …See details»
论文笔记：AdaProp: Learning Adaptive Propagation for ... - CSDN …
AdaProp包括两个重要的组成部分，即增量采样策略和基于学习的采样分布。增量采样策略可以让附近的目标和层间连接得以保留，采样分布可以在传递过程中识别语义相关的实体，并且让采 …See details»
AdaProp: Learning Adaptive Propagation for Graph Neural …
Challenges, we propose AdaProp, a GNN-based method with an adaptive propagation path. The key idea is to reduce the number of involved entities while preserving the relevant ones in the …See details»
Papers with Code - AdaProp: Learning Adaptive Propagation for …
May 30, 2022 Due to the popularity of Graph Neural Networks (GNNs), various GNN-based methods have been designed to reason on knowledge graphs (KGs). An important design …See details»
Learning Adaptive Propagation for Knowledge Graph Reasoning
May 30, 2022 AdaProp is the most efficient since it propagates with fewer entities and the sampling cost is not high. 3.3 Case study: query-dependent propagation path. In Section 2.2.2, …See details»
【传知代码】知识图谱推理-论文复现 - CSDN博客
May 29, 2024 AdaProp不仅提高了推理的准确性和效率，还为该领域的未来发展提供了新的方向。未来，我们将继续探索AdaProp的潜力，优化其算法结构，以期在更多领域取得更加卓越的 …See details»
AdaProp/README.md at main · LARS-research/AdaProp - GitHub
[KDD 2023] AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning - AdaProp/README.md at main · LARS-research/AdaPropSee details»
Papers with Code - The latest in Machine Learning
AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning . Due to the popularity of Graph Neural Networks (GNNs), various GNN-based …See details»
GitHub - moguizhizi/adaprop: Learning Adaptive Propagation for ...
AdaProp - NeurIPS 2022 submission. Dependencies. torch; torch_scatter; Usage. Prepare data. unzip data.zip Run training and hyper-parameter searching. python3 train.py --data_path …See details»
知识图谱推理(论文复现) - CSDN博客
Nov 12, 2024 文章浏览阅读870次，点赞29次，收藏18次。这一发现不仅突显了AdaProp在知识图谱推理中的潜力，也为该领域的未来研究和应用提供了新的方向。AdaProp的成功实现在理 …See details»
【传知代码】知识图谱推理-论文复现 - 阿里云开发者 ...
May 29, 2024 本文探讨了基于图神经网络（GNN）的知识图谱推理，提出了一种创新的自适应传播策略AdaProp，旨在解决大规模知识图谱处理中的效率和准确性问题。AdaProp通过动态调 …See details»
A review of graph neural networks and pretrained language …
Dec 7, 2024 Zhang Yongqi, Zhou Zhanke, Yao Quanming, Chu Xiaowen, Han Bo, AdaProp: Learning adaptive propagation for graph neural network based knowledge graph reasoning, in: …See details»
知识图谱推理 (论文复现)-腾讯云开发者社区-腾讯云
Nov 12, 2024 本研究专注于基于图神经网络（GNN）的知识图谱推理，特别关注了传播路径的应用与优化。在智能问答和推荐系统等领域，知识图谱推理具有关键作用，但传统GNN方法在 …See details»
Momentum Centering and Asynchronous Update for Adaptive …
We broadly categorize adaptive optimizers according to different criteria. (a) Centered v.s. uncentered Most optimizers such as Adam and AdaDelta uses uncentered second momentum …See details»
知识图谱推理（论文复现） - CSDN博客
Oct 22, 2024 文章浏览阅读115次。为了改进这些问题，本研究引入了创新的自适应传播策略AdaProp，并与传统的Red-GNN方法进行了对比实验。通过实际运行AdaProp和Red-GNN两 …See details»