gnn-ruby-code-study / results /autonomous_research.json
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{
"research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter0": {
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"timestamp": "2026-04-13T04:21:17.082504+00:00"
},
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"timestamp": "2026-04-13T04:21:17.082525+00:00"
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"duration_seconds": 393.59905821799475,
"timestamp": "2026-04-13T04:21:17.082536+00:00"
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"duration_seconds": 370.16381801999523,
"timestamp": "2026-04-13T04:21:17.082544+00:00"
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"duration_seconds": 1015.0197936969926,
"timestamp": "2026-04-13T04:21:17.082551+00:00"
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"timestamp": "2026-04-13T04:21:17.082563+00:00"
}
},
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"duration_seconds": 909.888803438007,
"timestamp": "2026-04-13T05:01:51.629069+00:00"
},
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"timestamp": "2026-04-13T05:01:51.629639+00:00"
},
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"error": "",
"duration_seconds": 350.0156822659919,
"timestamp": "2026-04-13T05:01:51.629655+00:00"
},
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"description": "Replace GraphSAGE with GraphConv architecture",
"instance_id": 34811234,
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"duration_seconds": 502.6296168830013,
"timestamp": "2026-04-13T05:01:51.629665+00:00"
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"metrics": {},
"exit_code": 124,
"error": "Training failed (exit 124): STDERR: Timed out after 1200s\nSTDOUT(tail): ",
"duration_seconds": 1200.1015126279963,
"timestamp": "2026-04-13T05:01:51.629672+00:00"
},
"layer_norm": {
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"instance_id": 34811240,
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"metrics": {},
"exit_code": -1,
"error": "SSH never became ready",
"duration_seconds": 0.0,
"timestamp": "2026-04-13T05:01:51.629679+00:00"
},
"cosine_annealing_lr": {
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},
"exit_code": 0,
"error": "",
"duration_seconds": 813.3919767069892,
"timestamp": "2026-04-13T05:01:51.629686+00:00"
},
"huber_loss": {
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"arm_name": "huber_loss",
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"instance_id": 34811249,
"gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n total used free shared buff/cache available\nMem: 503Gi 16Gi 181Gi 216Mi 305Gi 483Gi\nModel name: AMD EPYC 7K62 48-Core Processor",
"metrics": {
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"duration_seconds": 874.0376284039958,
"timestamp": "2026-04-13T05:01:51.629692+00:00"
}
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"research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter2": {
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"metrics": {
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},
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"error": "",
"duration_seconds": 709.6051656240015,
"timestamp": "2026-04-13T05:38:00.797679+00:00"
},
"gat_with_residuals": {
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"description": "Replace GraphSAGE with GAT architecture using residual connections",
"instance_id": 34814455,
"gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n total used free shared buff/cache available\nMem: 1.0Ti 152Gi 415Gi 41Gi 440Gi 807Gi\nModel name: AMD EPYC 7B13 64-Core Processor",
"metrics": {
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},
"exit_code": 0,
"error": "",
"duration_seconds": 964.3877903920074,
"timestamp": "2026-04-13T05:38:00.798298+00:00"
},
"graphconv_with_skip": {
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"description": "Use GraphConv with skip connections between layers",
"instance_id": 34814464,
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"metrics": {},
"exit_code": -1,
"error": "SSH never became ready",
"duration_seconds": 0.0,
"timestamp": "2026-04-13T05:38:00.798315+00:00"
},
"increased_batch_size": {
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"description": "Increase training batch size from 32 to 128",
"instance_id": 34814466,
"gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n total used free shared buff/cache available\nMem: 503Gi 175Gi 57Gi 15Gi 270Gi 307Gi\nModel name: AMD EPYC 7443P 24-Core Processor",
"metrics": {
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},
"exit_code": 0,
"error": "",
"duration_seconds": 347.20319185500557,
"timestamp": "2026-04-13T05:38:00.798324+00:00"
},
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"instance_id": 34814467,
"gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n total used free shared buff/cache available\nMem: 503Gi 175Gi 56Gi 15Gi 271Gi 308Gi\nModel name: AMD EPYC 7443P 24-Core Processor",
"metrics": {},
"exit_code": -1,
"error": "Git clone failed: fatal: destination path '/workspace/experiment' already exists and is not an empty directory.\n",
"duration_seconds": 0.0,
"timestamp": "2026-04-13T05:38:00.798331+00:00"
},
"adamw_optimizer": {
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"instance_id": 34814475,
"gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n total used free shared buff/cache available\nMem: 503Gi 127Gi 115Gi 15Gi 260Gi 353Gi\nModel name: AMD EPYC 7532 32-Core Processor",
"metrics": {
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},
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"error": "",
"duration_seconds": 417.01239075099875,
"timestamp": "2026-04-13T05:38:00.798338+00:00"
},
"layer_norm_after_activation": {
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"arm_name": "layer_norm_after_activation",
"description": "Apply layer normalization after activation in GNN layers",
"instance_id": 34814489,
"gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n total used free shared buff/cache available\nMem: 251Gi 11Gi 17Gi 5.4Gi 223Gi 232Gi\nModel name: AMD EPYC 7542 32-Core Processor",
"metrics": {
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},
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"error": "",
"duration_seconds": 396.3442929920129,
"timestamp": "2026-04-13T05:38:00.798344+00:00"
},
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"description": "Use multi-head GAT with 8 attention heads",
"instance_id": 34814494,
"gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n total used free shared buff/cache available\nMem: 503Gi 58Gi 169Gi 79Mi 274Gi 439Gi\nModel name: AMD EPYC 7713 64-Core Processor",
"metrics": {
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"duration_seconds": 1016.0155797129992,
"timestamp": "2026-04-13T05:38:00.798351+00:00"
}
}
}