Sunefei/PatchNet

• highreadme#1

  Reposition README's opening to clearly state the problem and domain

  原因：

  当前

  # PatchNet
  Implementation of "Handling Feature Heterogeneity with Learnable Graph Patches" which is accepted by KDD' 25.

  复制粘贴的修复

  复制

  # PatchNet: Learnable Graph Patches for Heterogeneous Graph Neural Networks
  This repository provides the official PyTorch implementation of 'Handling Feature Heterogeneity with Learnable Graph Patches', accepted by KDD'25. PatchNet introduces a novel Graph Neural Network (GNN) approach to effectively manage diverse feature types within heterogeneous graph data by learning and applying dynamic patches.

  待办完成忽略
• hightopics#2

  Add relevant topics to improve categorization

  原因：

  复制粘贴的修复

  复制

  graph-neural-networks, gnn, heterogeneous-graphs, feature-learning, deep-learning, kdd2025, pytorch

  待办完成忽略
• mediumlicense#3

  Add a LICENSE file to the repository

  原因：

  复制粘贴的修复

  复制

  Create a `LICENSE` file in the repository root. Choose an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) and paste its full text into this file.

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How to effectively manage diverse feature types when training graph neural networks?

  你：未被推荐
  AI 推荐顺序：

  1. NumPy (numpy/numpy)
  2. Pandas (pandas-dev/pandas)
  3. Scikit-learn (scikit-learn/scikit-learn)
  4. PyTorch Geometric (PyG) (pyg-team/pytorch_geometric)
  5. Deep Graph Library (DGL) (dmlc/dgl)
  6. TensorFlow GNN (TF-GNN) (tensorflow/gnn)
  7. Spektral (danielegrattarola/spektral)

  AI 推荐了 7 个替代方案，却始终没点名 Sunefei/PatchNet。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What are current approaches for learning robust graph representations from heterogeneous node features?

  你：未被推荐
  AI 推荐顺序：

  1. PyTorch Geometric (PyG)
  2. Deep Graph Library (DGL)
  3. GCN
  4. GAT
  5. PyTorch
  6. TensorFlow

  AI 推荐了 6 个替代方案，却始终没点名 Sunefei/PatchNet。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  fail

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of Sunefei/PatchNet?

  pass
  ✓AI 明确点名了 Sunefei/PatchNet

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts Sunefei/PatchNet in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 Sunefei/PatchNet

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo Sunefei/PatchNet solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 Sunefei/PatchNet

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？