Beginner score
78/100
Competition workspace
适合想用 PaddlePaddle 入门图神经网络的个人开发者，尤其是已有深度学习基础、愿意处理论文引用图和节点特征的人。参赛者需要能用 PaddlePaddle 2.0 及以上版本训练端到端模型，并按要求提交预测结果和原始代码。
Suggested next step
Decide whether this contest fits your current stage before you sink time into the leaderboard.
Beginner score
78/100
Learning value
72/100
Estimated effort
4-12 hours
Metric
Official scoring is published on the Ba…
适合想用 PaddlePaddle 入门图神经网络的个人开发者，尤其是已有深度学习基础、愿意处理论文引用图和节点特征的人。参赛者需要能用 PaddlePaddle 2.0 及以上版本训练端到端模型，并按要求提交预测结果和原始代码。
Taken from the competition's official page.
Academic graph dataset with edges, features, and train/test labels
AI Studio baseline system project
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
PaddlePaddle 2.0+
图神经网络（GNN）
PGL 图学习框架
图结构数据处理
NumPy 数据读取
CSV 提交文件生成
The real friction is usually not library usage. It is validation, time allocation, and task framing.
主要难点是把节点特征、已标注节点和论文引用关系整合为有效的节点分类模型，而不是只对单条样本做独立分类。还必须严格生成符合要求的 submission.csv：标签必须为整数类别 ID，列顺序、表头和测试集行数均不能出错。
This guide is the best pre-read if you want a cleaner start instead of trial-and-error.
A simple framework for choosing a competition that teaches instead of overwhelming you.
How to Choose Your First AI CompetitionUse these fields to make a quick decision before you dive deeper.
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Official metric is not published on the Baidu AI Studio competition listing; verify scoring on the competition page.