Source code and datasets of "CANE: Context-Aware Network Embedding for Relation Modeling"
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README.md

README.md

CANE

Source code and datasets of ACL2017 paper: "CANE: Context-Aware Network Embedding for Relation Modeling"

Datasets

This folder "datasets" contains three datasets used in CANE, including Cora, HepTh and Zhihu. In each dataset, there are two files named "data.txt" and "graph.txt".

  • data.txt: Each line represents the text information of a vertex.
  • graph.txt: The edgelist file of current social network.

Besides, there is an additional "group.txt" file in Cora.

  • group.txt: Each vertex in Cora has been annotated with a label. This file can be used for vertex classification.

Run

Run the following command for training CANE:

python train.py

Dependencies

  • Tensorflow == 0.12
  • Scipy == 0.18.1
  • Numpy == 1.11.2

Cite

If you use the code, please cite this paper:

Cunchao Tu, Han Liu, Zhiyuan Liu, Maosong Sun. CANE: Context-Aware Network Embedding for Relation Modeling. The 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017).

For more related works on network representation learning, please refer to my homepage.