近日,科大讯飞以第一名的成绩登顶世界顶级人工智能挑战赛Open GraphBenchmark(OGB)知识图谱榜单! 此次获奖的知识图谱技术,已在科大讯飞AI学习机中应用。学习机中内置的“AI个性化精准学系统”,技术内核便是“知识图谱找弱项”,可以帮助孩子找到学习弱项,实现个性化精准学。 科大讯飞以InterHT模型位居榜首 位居榜首,知...
OGB(Open GraphBenchmark)是目前公认最权威的国际顶级图学习基准评测榜单,由斯坦福大学Jure Leskovec教授团队建立并开源,Yoshua Bengio、Will Hamilton与Max Welling等学术界大牛也出任OGB的指导委员会成员,吸引了斯坦福大学、康奈尔大学、北京大学、Facebook、NVIDIA、百度等国际顶尖高校与科技巨头参与。 该数据集涵盖了生物...
We present the Open Graph Benchmark (OGB), a diverse set of challenging and realistic benchmark datasets to facilitate scalable, robust, and reproducible graph machine learning (ML) research. OGB datasets are large-scale, encompass multiple important graph ML tasks, and cover a diverse range of...
We will understand the working process of GraphSage in more detail with the help of a real-world dataset from theOpen Graph Benchmark(OGB) datasets. The OGB is a collection of realistic, large-scale, and diverse benchmark datasets for machine learning on graphs...
The OGB-LSC is the Large Scale Competition by Open Graph Benchmark to help accelerate research into machine learning on graph structured data - graphcore/ogb-lsc-pcqm4mv2
open@graph:~OpenGraphSim$cd00_graph_bench/sniperopen@graph:~OpenGraphSim/00_graph_bench/sniper$make go to the root directory toOpenGraphSimnow you can run sniper with OpenGraph benchmarks open@graph:~OpenGraphSim/00_graph_bench/sniper$cd../..open@graph:~OpenGraphSim$make run-sniper ...
3.1 ogbg-mol*--分子图 Moleculenet: a benchmark for molecular machine learning(论文) ogbg-molhiv数据集小,ogbg-molpcbaz数据集大 所有的分子都是用rdkit预处理的,每个图表示一个分子,节点表示原子,边表示化学键。输入的节点特征为9维。边的特征维3维,包含键类型,键立体化学以及附加键特征,表明键是否共轭。
Open Graph Benchmark是斯坦福大学CS224W课程(CS224W: Machine Learning with Graphs,链接 CS224W | Home)使用的开源基准图数据集。 安装 pip install ogb OGB是基于pytorch的,包含数据集、Data Loader以及后面的evaluator和leaderboard。研究人员只要专心做好模型和算法就可以了。更多详情请看官网:ogb.stanford.edu/...
官方也提供了基线代码供算法人员参考: https://github.com/OpenBGBenchmark OpenBG 参考论文如下：Qu, Yincen, et al. "Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce." Findings of EMNLP 2022.Xie, Xin, et al. "From Discrimination to Generation: Knowledge Graph ...
前言:本文介绍斯坦福大学的论文《Open Graph Benchmark:Datasets for Machine Learning on Graphs》以及OGB基准数据集的相关内容。OGB是一个真实的、大规模的、多样的并用于图学习的基准测试数据集。斯坦福大学的Jure Leskovec教授在NeurlPS 2019大会的演讲中介绍了OGB并宣布开源,可以在其项目官网进行访问。 论文链接:...