name | graph size | node labels | max. class prob |
---|---|---|---|
AIDS | 99.69 | 99.54 | 80.00 |
BZR | 80.12 | 83.65 | 78.77 |
BZR_MD | 62.19 | 66.28 | 51.31 |
COIL-DEL | 7.95 | nan | 1.00 |
COIL-RAG | 5.48 | nan | 1.00 |
COLLAB | 68.20 | nan | 52.00 |
COX2 | 77.85 | 77.85 | 78.16 |
COX2_MD | 50.30 | 64.51 | 51.16 |
DD | 75.59 | 79.71 | 58.66 |
DHFR | 60.65 | 65.31 | 60.98 |
DHFR_MD | 66.77 | 68.00 | 67.94 |
ENZYMES | 23.83 | 38.98 | 16.67 |
ER_MD | 66.08 | 71.21 | 59.42 |
FIRSTMM_DB | 7.56 | 10.14 | 14.63 |
FRANKENSTEIN | 63.90 | nan | 55.36 |
IMDB-BINARY | 69.74 | nan | 50.00 |
IMDB-MULTI | 45.12 | nan | 33.33 |
KKI | 55.12 | 48.37 | 55.42 |
Letter-high | 33.69 | nan | 6.67 |
Letter-low | 41.62 | nan | 6.67 |
Letter-med | 37.22 | nan | 6.67 |
MSRC_21 | 10.36 | 81.12 | 6.04 |
MSRC_21C | 15.48 | 75.53 | 13.88 |
MSRC_9 | 17.95 | 88.54 | 13.57 |
MUTAG | 84.21 | 84.10 | 66.49 |
Mutagenicity | 64.65 | 71.35 | 55.36 |
NCI1 | 62.49 | 64.43 | 50.05 |
NCI109 | 62.06 | 64.88 | 50.38 |
OHSU | 53.54 | 50.80 | 55.70 |
PROTEINS | 72.60 | 75.39 | 59.57 |
PROTEINS_full | 72.60 | 75.09 | 59.57 |
PTC_FM | 62.03 | 63.35 | 59.03 |
PTC_FR | 64.10 | 66.42 | 65.53 |
PTC_MM | 62.35 | 65.21 | 61.61 |
PTC_MR | 56.55 | 62.33 | 55.81 |
Peking_1 | 53.59 | 53.47 | 57.65 |
REDDIT-BINARY | 83.98 | nan | 50.00 |
REDDIT-MULTI-12K | 36.36 | nan | 21.73 |
REDDIT-MULTI-5K | 47.88 | nan | 20.00 |
SYNTHETIC | 43.36 | 43.49 | 50.00 |
SYNTHETICnew | 62.51 | nan | 50.00 |
Synthie | 51.09 | nan | 27.50 |
Tox21_AHR | 88.39 | 88.40 | 88.37 |
Tox21_AR-LBD | 96.45 | 96.49 | 96.48 |
Tox21_AR | 95.93 | 95.95 | 95.94 |
Tox21_ARE | 84.65 | 84.65 | 84.68 |
Tox21_ATAD5 | 96.27 | 96.29 | 96.28 |
Tox21_ER | 87.83 | 87.81 | 87.83 |
Tox21_ER_LBD | 94.90 | 94.90 | 94.90 |
Tox21_HSE | 94.76 | 94.77 | 94.75 |
Tox21_MMP | 84.36 | 84.93 | 84.40 |
Tox21_PPAR-gamma | 97.28 | 97.27 | 97.29 |
Tox21_aromatase | 95.02 | 94.99 | 95.02 |
Tox21_p53 | 93.77 | 93.78 | 93.78 |
Last active
May 3, 2019 14:29
-
-
Save xgfs/08b9123f687c638a8a6298df90c6c542 to your computer and use it in GitHub Desktop.
Graph kernel datasets performance with simple features
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Experimental settings: Gaussian SVC with C=1, 90/10 train/test split.
"Graph size" baseline is a vector with 2 elements: number of nodes and edges is a particular graph.