README.md

Graph Neural Network (GNN) Applications

This directory contains the GNN-based applications of KGLiDS, including Data Cleaning, Data Transformation, and AutoML.

Benchmark Datasets

The following table contains the names and details of benchmark datasets used to evaluate the different GNN applications of KGLiDS:

Num	Dataset	Size (MB)	#Rows	#Columns	#Categorical	#Numerical	%MV	ML Task
1	hepatitis	0.01	155	20	0	20	0.0539	Classification
2	housevotes84	0.02	435	17	17	0	0.0530	Classification
3	horsecolic	0.02	300	28	0	28	0.1911	Classification
4	breastcancerwisconsin	0.02	699	11	0	11	0.0021	Classification
5	credit	0.03	690	16	9	7	0.0061	Classification
6	cleveland_heart_disease	0.06	303	15	0	15	0.0013	Classification
7	titanic	0.08	891	12	5	7	0.0902	Classification
8	credit-g	0.16	1000	21	14	7	0.0037	Classification
9	jm1	1.75	10885	21	0	21	0.0001	Classification
10	adult	5.59	48842	15	9	6	0.0089	Classification
11	higgs	21.69	98050	29	0	29	0	Classification
12	APSFailure	99.15	76000	171	1	170	0.0830	Classification
13	albert	256.30	425240	79	0	79	0.1346	Classification
13	Fertility Diagnosis	0.0125	100	10	9	1	0	Classification
14	haberman	0.0095	306	4	4	0	0	Classification
15	wine	0.0191	178	14	14	0	0	Classification
16	ecoli	0.0584	336	9	7	2	0	Classification
17	Pima Indians Subset	0.0529	768	9	9	0	0	Classification
18	dermatology	0.1157	366	35	34	1	0.0006	Classification
19	banknote authentication	0.0525	1372	5	5	0	0	Classification
20	Ionosphere	0.0939	351	35	35	0	0	Classification
21	Sonar	0.0969	208	61	61	0	0	Classification
22	abalone	0.4861	4177	9	8	1	0	Classification
23	libras	0.2501	360	91	91	0	0	Classification
24	waveform	0.8394	5000	22	22	0	0	Classification
25	letter recognition	3.5478	20000	17	16	1	0	Classification
26	optical digits	2.7872	5620	65	65	0	0	Classification
27	feature pixel	3.6775	2000	241	241	0	0	Classification
28	shuttle	4.4253	58001	10	10	0	0	Classification
29	feature Fourier	1.1751	2000	77	77	0	0	Classification
30	poker	86.0224	1025010	11	11	0	0	Classification
31	airlines	18.2766	539383	8	3	5	0	binary
32	blood-transfusion-service-center	0.01	748	5	0	5	0	binary
33	christine	31.3888	5418	1637	0	1637	0	binary
34	kc1	0.1446	2109	22	0	22	0	binary
35	MiniBooNE	69.3548	130064	51	0	51	0	binary
36	sylvine	0.4107	5124	21	0	21	0	binary
37	cnae-9	1.771	1080	857	0	857	0	multi-class
38	connect-4	5.541	67557	43	0	43	0	multi-class
39	dilbert	175.9978	10000	2001	0	2001	0	multi-class
40	fabert	13.0473	8237	801	0	801	0	multi-class
41	jungle_chess_2pcs_raw_endgame_complete	0.5985	44819	7	1	6	0	multi-class
42	robert	268.0512	10000	7201	0	7201	0	multi-class
43	vehicle	0.0529	846	19	1	18	0	multi-class
44	fri_c1_1000_25	0.2259	1000	26	1	25	0	binary
45	car_evaluation	0.0728	1728	22	0	22	0	multi-class
46	glass	0.0101	205	10	0	10	0	multi-class
47	kropt	0.5073	28056	7	4	3	0	multi-class
48	cpu_act_761	0.6856	8192	22	1	21	0	binary
49	cpu_small_735	0.426	8192	13	1	12	0	binary
50	page-blocks	0.2256	5473	11	1	10	0	binary
51	waveform-5000	1.0052	5000	41	1	40	0	binary