Skip to content

Commit

Permalink
Merge pull request #12 from fs302/nbfnet
Browse files Browse the repository at this point in the history
clean un-necessary files
  • Loading branch information
fs302 authored Feb 21, 2024
2 parents 3fc7ff3 + e4e393e commit bb846fd
Show file tree
Hide file tree
Showing 4 changed files with 15 additions and 15 deletions.
Binary file removed .DS_Store
Binary file not shown.
14 changes: 0 additions & 14 deletions .vscode/settings.json

This file was deleted.

16 changes: 15 additions & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -29,4 +29,18 @@ EasyLink is an **Easy-to-use** collection of SOTA Link Prediction models for Net
| Arxiv | collaboration network generated from arXiv | 18,722 nodes and 198,110 edges |-|-|
| twitter | social circles from Twitter | 81,306 nodes and 1,342,310 edges |-|-|
| MAG-collab | subset of the collaboration network between authors from MAG | 235,868 nodes and 1,285,465 edges | Yes |-|
| CORA | subset of the paper citation network of machine learning | 1433 nodes and 2708 edges | Yes |-|
| CORA | subset of the paper citation network of machine learning | 1433 nodes and 2708 edges | Yes |-|

## RoadMap

- [x] Build classic heuristic link prediction methods: Common Neighbors, Adamic-Adar, Resource Allocation
- [x] Build basic graph neural network models: Node2Vec, GraphSage
- [x] Build advanced graph neural network models: SEAL, NBFNet
- [x] Demonstrate examples for each model
- [x] Import classic link prediction datasets: USAir, Facebook, Arxiv, twitter
- [ ] Develop a universal pipeline for link prediction
- [ ] Optimize computational efficiency
- [ ] Host 1~3 leaderboards on diverse datasets with link prediction models
- [ ] Launch a tutorial website with complimentary documentation
- [ ] Support a easy-to-use python package
- [ ] Explore an automatic pipeline for link prediction
Empty file removed __init__.py
Empty file.

0 comments on commit bb846fd

Please sign in to comment.