Table 46: Full results on Squirrel dataset with GAT.
GAT
layers	method	bilateral noise	input noise	label noise
20%	40%	60%	20%	40%	60%	20%	40%	60%
L=2	Standard	.9680±.0007	.9635±.0017	.9588±.0025	.9702±.0008	.9690±.0010	.9659±.0014	.9719±.0018	.9701±.0017	.9686±.0012
DropEdge	.9619±.0014	.9567±.0020	.9505±.0022	.9627±.0008	.9593±.0014	.9551±.0012	.9684±.0015	.9662±.0026	.9661±.0018
NeuralSparse	.9656±.0009	.9602±.0012	.9533±.0019	.9662±.0011	.9629±.0010	.9584±.0017	.9709±.0012	.9692±.0014	.9685±.0009
PTDNet	.9655±.0011	.9602±.0012	.9546±.0024	.9668±.0010	.9630±.0015	.9603±.0021	.9610±.0015	.9698±.0012	.9689±.0016
Co-teaching	.9566±.0034	.9562±.0066	.9516±.0026	.9505±.0045	.9509±.0092	.9509±.0046	.9591±.0293	.9880±.0174	.9360±.0089
Peer loss	.9720±.0097	.9726±.0039	.9682±.0106	.9706±.6.649	.9715±.0064	.9704±.0107	.9681±.0121	.9635±.0069	.9683±.0116
Jaccard	.9715±.0098	.9651±.0053	.9648±.0094	.9807±.0202	.9768±.0041	.9645±.0174	.9637±.0081	.9668±.0104	.9627±.0002
GIB	.9727±.0019	.9820±.0058	.9610±.0069	.9780±.0001	.9965±.0000	.9838±.0123	.9660±.0067	.9611±.0022	.9679±.0061
SupCon	.9471±.0019	.9386±.0022	.9353±.0026	.9539±.0032	.9463±.0026	.9411±.0034	.9629±.0028	.9631±.0019	.9636±.0021
GRACE	.7300±.1193	.7583±.1135	.7015±.1383	.7494±.1101	.6903±.1807	.7032±.1659	.8109±.0382	.7780±.1044	.7608±.0620
RGB-REP	.9675±.0014	.9631±.0012	.9587±.0023	.9692±.0007	.9660±.0013	.9632±.0016	.9735±.0012	.9719±.0013	.9715±.0010
RGIB-SSL	.9453±.0020	.9421±.0017	.9385±.0022	.9418±.0024	.9394±.0033	.9362±.0023	.9726±.0007	.9705±.0037	.9695±.0024
L=4	Standard	.9581±.0046	.9436±.0063	.9335±.0062	.9592±.0047	.9455±.0075	.9415±.0061	.9682±.0030	.9690±.0028	.9686±.0021
DropEdge	.9501±.0041	.9340±.0046	.9234±.0059	.9476±.0054	.9354±.0067	.9292±.0039	.9529±.0047	.9513±.0054	.9510±.0037
NeuralSparse	.9524±.0041	.9383±.0046	.9320±.0044	.9401±.0071	.9377±.0045	.9334±.0041	.9559±.0031	.9555±.0032	.9556±.0022
PTDNet	.9416±.0054	.9310±.0059	.9302±.0032	.9447±.0031	.9393±.0053	.9305±.0131	.9574±.0039	.9557±.0025	.9552±.0042
Co-teaching	.9324±.0109	.9024±.0120	.9029±.0126	.9421±.0074	.9345±.0126	.9371±.0091	.9576±.0124	.9592±.0064	.9551±.0087
Peer loss	.9520±.0071	.9506±.0145	.9370±.0140	.9560±.0063	.9451±.0086	.9448±.0142	.9548±.0128	.9500±.0088	.9593±.0134
Jaccard	.9561±.0133	.9423±.0160	.9396±.0117	.9578±.0185	.9583±.0256	.9558±.0050	.9572±.0074	.9572±.0083	.9554±.0089
GIB	.9353±.0080	.9271±.0093	.9098±.0079	.9545±.0156	.9504±.0240	.9530±.0348	.9544±.0023	.9549±.0073	.9524±.0060
SupCon	.9397±.0044	.9322±.0038	.9266±.0047	.9365±.0039	.9340±.0021	.9314±.0029	.9574±.0019	.9557±.0065	.9556±.0049
GRACE	.5710±.1110	.5658±.1143	.6203±.1324	.5694±.1202	.5771±.0945	.6021±.1203	.5291±.0694	.5097±.0139	.5029±.0072
RGB-REP	.9541±.0059	.9432±.0059	.9316±.0063	.9526±.0037	.9401±.0072	.9389±.0056	.9681±.0028	.9672±.0029	.9660±.0048
RGIB-SSL	.9347±.0038	.9321±.0031	.9260±.0032	.9321±.0022	.9327±.0020	.9270±.0028	.9592±.0031	.9651±.0014	.9641±.0021
L=6	Standard	.9507±.0050	.9309±.0164	.9254±.0089	.9487±.0065	.9419±.0041	.9255±.0073	.9585±.0097	.9520±.0070	.9507±.0162
DropEdge	.9347±.0049	.9279±.0118	.9181±.0078	.9368±.0082	.9262±.0076	.9175±.0127	.9412±.0092	.9431±.0076	.9444±.0090
NeuralSparse	.9399±.0088	.9279±.0167	.9224±.0051	.9423±.0063	.9342±.0023	.9213±.0115	.9468±.0118	.9474±.0102	.9504±.0051
PTDNet	.9433±.0105	.9348±.0072	.9213±.0100	.9460±.0048	.9340±.0052	.9273±.0094	.9482±.0088	.9541±.0092	.9453±.0077
Co-teaching	.9219±.0059	.9329±.0231	.9229±.0185	.9392±.0093	.9352±.0098	.9261±.0100	.9496±.0383	.9445±.0272	.9490±.0284
Peer loss	.9300±.0136	.9316±.0220	.9349±.0147	.9271±.0119	.9170±.0117	.9057±.0127	.9230±.0221	.9341±.0113	.9187±.0325
Jaccard	.9577±.0112	.9374±.0225	.9297±.0158	.9469±.0111	.9406±.0111	.9309±.0168	.9393±.0153	.9390±.0151	.9314±.0223
GIB	.9504±.0239	.9475±.0221	.9445±.0127	.9484±.0211	.9487±.0139	.9438±.0307	.9421±.0133	.9484±.0101	.9486±.0206
SupCon	.9269±.0089	.9174±.0092	.9107±.0052	.9278±.0057	.9223±.0054	.9210±.0038	.9140±.0072	.9173±.0085	.9182±.0081
GRACE	.5003±.0009	.5427±.0961	.6004±.1210	.5657±.1221	.6023±.0931	.5342±.0684	.5064±.0145	.5017±.0031	.5074±.0190
RGB-REP	.9404±.0067	.9248±.0161	.9218±.0051	.9437±.0084	.9299±.0070	.9238±.0063	.9473±.0071	.9486±.0073	.9397±.0045
RGIB-SSL	.9286±.0033	.9241±.0055	.9165±.0055	.9276±.0023	.9245±.0015	.9257±.0037	.9593±.0043	.9586±.0027	.9499±.0067

Table 47: Full results on Squirrel dataset with SAGE.
SAGE
layers	method	bilateral noise	input noise	label noise
20%	40%	60%	20%	40%	60%	20%	40%	60%
L=2	Standard	.9680±.0015	.9626±.0015	.9570±.0016	.9737±.0010	.9736±.0010	.9721±.0011	.9692±.0015	.9643±.0012	.9606±.0017
DropEdge	.9657±.0011	.9602±.0015	.9535±.0020	.9622±.0010	.9625±.0009	.9609±.0020	.9593±.0009	.9530±.0009	.9593±.0007
NeuralSparse	.9572±.0008	.9517±.0012	.9562±.0019	.9534±.0007	.9534±.0010	.9521±.0016	.9589±.0012	.9534±.0009	.9591±.0010
PTDNet	.9578±.0009	.9513±.0013	.9559±.0021	.9630±.0010	.9504±.0007	.9524±.0010	.9596±.0014	.9529±.0010	.9596±.0019
Co-teaching	.9526±.0031	.9560±.0071	.9526±.0029	.9403±.0050	.9585±.0061	.9585±.0101	.9533±.0022	.9533±.0306	.9539±.0026
Peer loss	.9552±.0079	.9507±.0050	.9588±.0066	.9512±.0052	.9534±.0019	.9599±.0013	.9525±.0105	.9555±.0178	.9510±.0187
Jaccard	.9658±.0111	.9619±.0068	.9630±.0027	.9600±.0189	.9649±.0173	.9617±.0171	.9620±.0105	.9608±.0068	.9603±.0044
GIB	.9656±.0079	.9660±.0077	.9661±.0060	.9632±.0260	.9517±.0213	.9565±.0010	.9565±.0009	.9593±.0002	.9548±.0111
SupCon	.9628±.0015	.9541±.0019	.9409±.0040	.9585±.0061	.9585±.0101	.9533±.0022	.9533±.0306	.9539±.0026	.9400±.0021
GRACE	.8543±.0076	.8572±.0094	.8528±.0166	.8563±.0068	.8601±.0087	.8528±.0075	.8477±.0119	.8459±.0105	.8452±.0141
RGB-REP	.9701±.0010	.9647±.0014	.9597±.0018	.9757±.0009	.9747±.0007	.9737±.0011	.9735±.0010	.9707±.0007	.9682±.0016
RGIB-SSL	.9536±.0016	.9480±.0027	.9448±.0030	.9734±.0014	.9739±.0015	.9803±.0024	.9765±.0021	.9702±.0015	.9694±.0005
L=4	Standard	.9584±.0107	.9577±.0076	.9541±.0021	.9637±.0092	.9630±.0079	.9607±.0090	.9663±.0020	.9612±.0049	.9612±.0020
DropEdge	.9518±.0030	.9577±.0021	.9515±.0033	.9656±.0051	.9612±.0093	.9573±.0111	.9683±.0020	.9628±.0014	.9608±.0012
NeuralSparse	.9604±.0083	.9570±.0040	.9513±.0040	.9644±.0066	.9599±.0084	.9605±.0061	.9652±.0035	.9632±.0023	.9605±.0021
PTDNet	.9624±.0050	.9581±.0039	.9536±.0033	.9667±.0045	.9668±.0057	.9649±.0052	.9675±.0043	.9635±.0040	.9607±.0026
Co-teaching	.9518±.0181	.9468±.0093	.9479±.0024	.9525±.0086	.9577±.0159	.9528±.0137	.9625±.0244	.9610±.0220	.9675±.0097
Peer loss	.9632±.0196	.9662±.0085	.9602±.0088	.9674±.0145	.9626±.0120	.9643±.0145	.9637±.0004	.9617±.0170	.9691±.0016
Jaccard	.9622±.0135	.9606±.0157	.9587±.0105	.9647±.0084	.9630±.0253	.9640±.0278	.9505±.0026	.9508±.0063	.9599±.0039
GIB	.9527±.0122	.9538±.0275	.9531±.0174	.9603±.0081	.9620±.0115	.9580±.0330	.9598±.0031	.9523±.0064	.9559±.0091
SupCon	.9478±.0042	.9412±.0059	.9342±.0039	.9267±.0045	.9368±.0028	.9249±.0026	.9375±.0034	.9335±.0012	.9317±.0021
GRACE	.8859±.0115	.8751±.0085	.8609±.0212	.8824±.0113	.8805±.0261	.8633±.0178	.8386±.0130	.8466±.0103	.8347±.0180
RGB-REP	.9611±.0058	.9578±.0035	.9536±.0037	.9682±.0049	.9667±.0051	.9584±.0074	.9689±.0014	.9664±.0027	.9635±.0022
RGIB-SSL	.9498±.0032	.9443±.0047	.9422±.0044	.9531±.0071	.9599±.0023	.9551±.0019	.9623±.0021	.9603±.0087	.9601±.0091
L=6	Standard	.9555±.0065	.9528±.0038	.9461±.0054	.9592±.0053	.9600±.0036	.9551±.0042	.9574±.0192	.9540±.0207	.9583±.0023
DropEdge	.9544±.0069	.9411±.0200	.9463±.0041	.9566±.0070	.9473±.0172	.9519±.0052	.9464±.0023	.9402±.0084	.9396±.0025
NeuralSparse	.9563±.0060	.9515±.0036	.9457±.0054	.9591±.0046	.9460±.0052	.9415±.0061	.9371±.0025	.9344±.0017	.9319±.0033
PTDNet	.9565±.0060	.9524±.0050	.9463±.0056	.9593±.0045	.9584±.0044	.9492±.0038	.9384±.0023	.9342±.0018	.9236±.0018
Co-teaching	.9423±.0071	.9396±.0126	.9251±.0137	.9382±.0063	.9433±.0054	.9388±.0088	.9344±.0232	.9496±.0204	.9374±.0083
Peer loss	.9473±.0108	.9371±.0040	.9333±.0084	.9339±.0053	.9312±.0058	.9331±.0066	.9396±.0211	.9375±.0195	.9335±.0035
Jaccard	.9335±.0058	.9305±.0057	.9225±.0146	.9309±.0059	.9386±.0084	.9433±.0147	.9348±.0200	.9210±.0285	.9273±.0029
GIB	.9437±.0258	.9323±.0155	.9204±.0182	.9492±.0239	.9406±.0137	.9322±.0335	.9407±.0269	.9364±.0274	.9394±.0079
SupCon	.9392±.0049	.9330±.0098	.9221±.0138	.9266±.0024	.9313±.0102	.9309±.0052	.9264±.0021	.9202±.0084	.9196±.0021
GRACE	.8418±.0983	.8470±.0823	.8732±.0151	.8747±.0151	.8126±.1348	.8716±.0148	.8385±.0097	.8370±.0295	.8487±.0121
RGB-REP	.9558±.0047	.9474±.0066	.9455±.0052	.9583±.0044	.9566±.0035	.9447±.0030	.9662±.0057	.9646±.0021	.9634±.0030
RGIB-SSL	.9437±.0026	.9391±.0036	.9366±.0042	.9441±.0064	.9549±.0012	.9469±.0012	.9678±.0031	.9613±.0076	.9601±.0041

47