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graph-dive

숨참고 GRAPH-DIVE

Members

👑 차지수
윤수진
조현우
진현빈
박수빈
김산
김민서

📕 논문의 트렌드를 예측하는 그래프 모델

Baseline paper: Structured Citation Trend Prediction Using Graph Neural Network

내 논문의 주제는 citation을 많이 받는 ♨️핫한 주제일까❓

1.Requirements

Verisions (Recommended)

Python 3.7.15
Pytorch 1.12.1+cu113
Torch_geometric 2.1.0

Docker

Dockerfile 제공

# build docker image
$ docker build -t graph-dive:latest . 

# execute docker container
$ docker run --name graph-dive --ipc=host -it -v <working_dir>:/workspace -w /workspace graph-dive:latest /bin/bash

2.Model

3.Dataset

MAG(Microsoft Academic Graph)

[Fig 1. MAG Scheme]
논문 제목, 저자의 명성, Abstract, citation 수, conference id를 필터링해서 사용.

4.Evaluation

📝 SKILLS

Frameworks:

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