README.md

InGram[ICML]

Paper:InGram: Inductive Knowledge Graph Embedding via Relation Graphs

How to run

Clone the Openhgnn-DGL

python main.py -m Ingram -d NL-100 -t Ingram -g 0

If you do not have gpu, set -gpu -1.

Candidate dataset: NL-100

Performance

InGram[OpenHGNN]	MR	MRR	H@10	H@1
NL-100	Paper:92.6 openhgnn:97.0	Paper:0.309 openhgnn:0.295	Paper:0.506 openhgnn:0.494	Paper: 0.212 openhgnn: 0.193

TrainerFlow: Ingram

model

Ingram

Dataset

NL-100

Contirbutor

Zikai Zhou[GAMMA LAB]

If you have any questions,

Submit an issue or email to [email protected].