pedrv

Pedrv's workspace

Runs

4,305

450

183

268

248

203

300

150

loss

max_abs_err_graphs

max_abs_err_graphs_idx

max_abs_err_pattern

max_abs_err_pattern_idx

max_squared_err_pattern

max_squared_err_pattern_idx

mean_squared_err_pattern

mean_worse_abs_errs_graph

mean_worse_abs_errs_graph_idx

mean_worse_squared_errs_graph_idx

med_abs_error

min_squared_err_pattern

min_squared_err_pattern_idx

q11

q12

q13

q14

q15

q21

Crashed

Used SAGE with mean pooling at the aggregator level with single-head attention with a MLP decoder on the non-deterministic dataset.

pedrv

dataset_v1

ndeterministic

optimization

part1

part2

sage

simple_decoder

2y ago

3d 16h 33m 45s

31.57333

3.08667

0.32926

14.55556

0.00037978

2.52222

0.094884

6.75111

["cat","lstm","max"]

torch_geometric.nn.pool.global_add_pool

0.15476

6.15167

3208.72

5.95374

3169.28

1.23815

0.46397

0.053333

0.17272

0.19405

2161.10889

0.078817

0.15478

0.50563

1.28889

2.46154

0.039631

Crashed

Used GCN with a MLP decoder on the non-deterministic dataset.

pedrv

dataset_v1

gcn

ndeterministic

optimization

part1

part2

simple_decoder

2y ago

4d 2h 57m 31s

56.67556

3.09556

0.41511

13.60222

0.000062979

2.05778

0.088685

8.00222

["cat","lstm","max"]

torch_geometric.nn.pool.global_add_pool

0.16975

6.34828

3612.28444

6.32189

3552.90444

1.35807

0.51371

0.015556

0.18049

0.12303

2737.62444

0.069762

0.16431

0.58749

1.72428

2.7724

0.033233

Crashed

Used GAT with single-head attention with a MLP decoder on the non-deterministic dataset.

pedrv

dataset_v1

gat

ndeterministic

optimization

part2

simple_decoder

2y ago

2d 12h 3m 59s

35.14754

2.12568

0.50438

10.37158

0.000087485

2.01639

0.060901

10.38798

["cat","lstm","max"]

torch_geometric.nn.pool.global_add_pool

0.19373

5.69377

3580.61202

4.94734

3604.10383

1.54996

0.6216

0.2231

0.38068

2529.43716

0.17389

0.22946

0.78426

1.57358

1.98497

0.078453

Crashed

Used GAT with single-head attention with a MLP decoder on the non-deterministic dataset.

pedrv

dataset_v1

gat

ndeterministic

optimization

part1

simple_decoder

2y ago

4d 6h 45m 39s

40.71642

2.52985

0.51832

10.29478

0.000077556

2.08955

0.1713

9.3694

["cat","lstm","max"]

torch_geometric.nn.pool.global_add_pool

0.19456

5.69889

3594.83582

5.00392

3560.17164

1.55658

0.61532

0.22098

0.35244

2857.89925

0.16423

0.23897

0.78757

1.63208

2.08843

0.076688

Crashed

Used GIN with a MLP decoder on the non-deterministic dataset.

pedrv

dataset_v1

gin

ndeterministic

optimization

part2

simple_decoder

2y ago

2d 4h 40m 53s

30.25806

2.11694

0.74954

14.66129

0.00010729

2.97581

0.10043

9.08468

["cat","lstm","max"]

torch_geometric.nn.pool.global_add_pool

0.13978

6.62702

3372.37097

6.99036

3346.22177

1.11836

0.40854

0.028226

0.15966

0.067011

3599.89919

0.044732

0.10981

0.34611

1.2957

2.78019

0.020808

Crashed

Used GIN with a MLP decoder on the non-deterministic dataset.

pedrv

dataset_v1

gin

ndeterministic

optimization

part1

simple_decoder

2y ago

2d 22h 54m 5s

36.09852

2.36946

0.75058

14.33005

0.00015302

2.94581

0.22926

10.30049

["cat","lstm","max"]

torch_geometric.nn.pool.global_add_pool

0.15238

6.37128

3192.78713

6.53343

3317.74752

1.21917

0.45143

0.009901

0.17102

0.12977

3349.13861

0.0628

0.13821

0.43326

1.40085

2.60979

0.031782

Crashed

Used GIN with a MLP decoder on the deterministic dataset.

pedrv

dataset_v2-1

deterministic

gin

optimization

part2

simple_decoder

2y ago

4d 6h 44m 7s

23.14667

2.11333

0.68703

14.89333

0.00023338

2.99

0.092097

15.45

["cat","lstm","max"]

torch_geometric.nn.pool.global_add_pool

0.083428

5.96743

3404.05

0.28121

0.57667

0.093533

Crashed

Used SAGE with mean pooling at the aggregate level with a MLP decoder on the deterministic dataset.

pedrv

dataset_v2-1

deterministic

mean-pooling

optimization

part2

sage

simple_decoder

2y ago

1d 3h 55m 6s

42.29333

2.02667

0.31638

15.68

0.00061242

2.01667

0.074746

7.85

["cat","max"]

torch_geometric.nn.pool.global_add_pool

0.098351

6.31059

3528.12

0.3071

0.28667

0.10259

Crashed

Used GAT with single-head attention with a MLP decoder on the deterministic dataset.

pedrv

dataset_v2-1

deterministic

gat

optimization

part2

simple_decoder

single-head

2y ago

4d 21h 31m 15s

18.34667

2.11667

0.52636

11.45667

0.00040954

2.99

0.05829

15.25

["cat","lstm","max"]

torch_geometric.nn.pool.global_add_pool

0.24559

6.65631

3186.58667

0.57683

0.34

0.20915

Crashed

Used GCN with a MLP decoder on the deterministic dataset.

pedrv

dataset_v2-1

deterministic

gcn

optimization

part2

simple_decoder

2y ago

2d 13h 28m 59s

45.49333

2.09333

0.71351

14.81333

0.00049985

2.67

0.058045

14.68667

["cat","lstm","max"]

torch_geometric.nn.pool.global_add_pool

0.16652

6.42906

3692.83

0.46233

0.17

0.15248

Crashed

Used SAGE with max pooling at the aggregate level with a MLP decoder on the deterministic dataset.

pedrv

dataset_v2-1

deterministic

max-pooling

optimization

sage

simple_decoder

2y ago

1d 2h 47m 15s

53.65333

hephaestus.models.simple_decoder.SimpleDecoder

3.71333

0.3883

12.88667

100

0.00048865

torch_geometric.nn.GraphSAGE

2.11333

0.14708

11.57333

["cat","lstm","max"]

torch_geometric.nn.pool.global_add_pool

0.1306

6.09604

3719.30667

0.38027

0.82

0.13051

Crashed

Used GIN with a MLP decoder on the deterministic dataset.

pedrv

dataset_v2-1

deterministic

gin

optimization

part1

simple_decoder

2y ago

1d 8h 24m 10s

68.48

hephaestus.models.simple_decoder.SimpleDecoder

2.48667

0.48629

100

0.00041664

torch_geometric.nn.GIN

2.76

0.20467

10.19333

["cat","lstm","max"]

torch_geometric.nn.pool.global_add_pool

0.093651

5.93659

3386.12667

0.30543

0.54667

0.10448

Crashed

Used SAGE with mean pooling at the aggregate level with a MLP decoder on the deterministic dataset.

pedrv

dataset_v2-1

deterministic

mean-pooling

optimization

part1

sage

simple_decoder

2y ago

1d 1h 13m 46s

42.56

hephaestus.models.simple_decoder.SimpleDecoder

3.16

0.3213

14.41333

100

0.00061167

torch_geometric.nn.GraphSAGE

2.08667

0.13211

9.4

["cat","lstm","max"]

torch_geometric.nn.pool.global_add_pool

0.15136

6.28068

3108.57333

0.41888

0.37333

0.13501

Crashed

Used GAT with multihead with a MLP decoder on the deterministic dataset.

pedrv

dataset_v2-1

deterministic

gat

multi-head

optimization

part1

simple_decoder

2y ago

1d 16h 53m 19s

60.26667

hephaestus.models.simple_decoder.SimpleDecoder

4.03333

0.51316

13.56

100

0.00013358

torch_geometric.nn.GAT

2.24667

0.12591

12.8

["cat","lstm","max"]

torch_geometric.nn.pool.global_add_pool

0.29061

6.02994

3385.29333

0.75186

0.30667

0.22913

Crashed

Used GAT with single head attention with a MLP decoder on the deterministic dataset.

pedrv

dataset_v2-1

deterministic

gat

optimization

part1

simple_decoder

single-head

2y ago

1d 17h 27m 46s

111.36

hephaestus.models.simple_decoder.SimpleDecoder

2.76

0.53681

12.48

100

0.0002194

torch_geometric.nn.GAT

2.74

0.23197

12.39333

["cat","lstm","max"]

torch_geometric.nn.pool.global_add_pool

0.26284

5.96743

3350.71333

0.68638

0.12

0.22679

Crashed

Used GCN with a MLP decoder on the deterministic dataset.

pedrv

dataset_v2-1

deterministic

gcn

optimization

part1

simple_decoder

2y ago

1d 4h 33m 10s

70.93333

hephaestus.models.simple_decoder.SimpleDecoder

2.90667

0.51154

13.6

100

0.00030394

torch_geometric.nn.GCN

2.08667

0.12557

14.64667

["cat","lstm","max"]

torch_geometric.nn.pool.global_add_pool

0.23122

6.36819

3546.31333

0.60505

0.16

0.20264

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