Research on Machine Learning Program Generation Algorithm Based on AORBCO

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Dataset statistics

Domain knowledge graph		Dataset
Number of objects	5262	Number of dataset objects	233
Relationship types	48	Number of algorithm objects	1448
Number of triples	14774	Number of interactions	1485
Average number of descriptive words	50.5	Sparsity	0.00440

Cloud Platform Experimental Environment Information

Name	Configuration information
operating system	Ubuntu 20.04.5 LTS
memory	64G
graphics card	NVIDIA A100 40GB
development language	Python 3.8
Deep learning platform	Pytorch 2.0.0

Statistical data on Q&A dataset

Dataset	Attribute
source language	English
target language	Python
quantity	121
Average number of words in the source language	52
Maximum number of words in the source language	69
Average number of words in the target language	1365
Maximum number of words in the target language	1593

Comparative Experiment (%)

label	model	Parameter quantity	CodeBLEU	ROUGE-1	ROUGE-2	ROUGE-L
1	CodeT5	770M	12.62	7.62	3.02	5.29
2	CodeT5-EKG	770M	23.93	13.52	4.62	10.02
3	CodeT5	2B	32.83	20.04	6.43	14.32
4	CodeT5-EKG	2B	47.94	24.30	9.22	17.60
5	CodeT5	6B	46.27	32.96	14.21	25.68
6	CodeT5-EKG	6B	51.12	35.58	16.11	27.54

Pre-training dataset

Language	Sample quantity
Ruby	2,119,741
JavaScript	5,856,984
Go	1,501,673
Python	3,418,376
Java	10,851,759
PHP	4,386,876
C	4,187,467
C++	2,951,945
C#	4,119,796

CTR prediction comparison experiment (%)

Model	AUC	Precision	Recall	F1-score
KGNN-LS	80.01	71.63	76.10	73.80
KGCN	71.62	62.78	64.38	63.57
RippleNet	82.55	69.43	86.91	77.19
TCF	82.16	78.24	82.81	80.46
AD-EKG	88.20	83.80	86.82	85.28

Comparison with other models (%)

label	model	Parameter quantity	CodeBLEU	ROUGE-1	ROUGE-2	ROUGE-L
1	CodeT5-EKG	770M	23.93	13.52	4.62	10.02
2	CodeT5-EKG	2B	47.94	24.30	9.22	17.60
3	CodeT5-EKG	6B	51.12	35.58	16.11	27.54
4	CodeGen-Mono	2B	34.08	20.23	6.52	14.94
5	GPT-Neo	2.7B	19.82	12.57	2.79	11.28
6	InstructCodeT5	16B	43.71	25.00	9.63	21.06

Experimental environment information

Name	Configuration information
operating system	Windows 11
RAM	16G
Graphics card	NVIDIA GeForce RTX 3070 8G
development language	Python 3.7.8
Deep learning platform	TensorFlow 2.2.0