Event-based Dynamic Graph Representation Learning for Patent Application Trend Prediction

Datasets

We provide the preprocessed datasets at here, which should be put in the ./data folder.

To run the patent application trend prediction task on patent datasets:

run ./main.py to get the results of EDGPAT.

Performance

Metric	Recall-10	DNCG-10	PHR-10	Recall-20	DNCG-20	PHR-20	Recall-30	DNCG-30	PHR-30	Recall-40	DNCG-40	PHR-40
EDGPAT	0.1175	0.1725	0.5491	0.1646	0.1742	0.6304	0.1868	0.1769	0.6612	0.2006	0.1769	0.6800

Environments:

• PyTorch 1.7.1
• tqdm
• numpy