{ "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter0": { "baseline": { "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter0", "arm_name": "baseline", "description": "Original GraphSAGE with hidden_dim=64, 3 layers", "instance_id": 34808397, "gpu_info": "", "metrics": {}, "exit_code": -1, "error": "SSH never became ready", "duration_seconds": 0.0, "timestamp": "2026-04-13T04:21:17.081828+00:00" }, "gat_architecture": { "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter0", "arm_name": "gat_architecture", "description": "Replace GraphSAGE with GAT architecture", "instance_id": 34808408, "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n total used free shared buff/cache available\nMem: 503Gi 37Gi 305Gi 41Gi 161Gi 420Gi\nModel name: AMD EPYC 7663 56-Core Processor", "metrics": {}, "exit_code": 124, "error": "Training failed (exit 124): STDERR: Timed out after 1200s\nSTDOUT(tail): ", "duration_seconds": 1200.1004507119942, "timestamp": "2026-04-13T04:21:17.082504+00:00" }, "gin_architecture": { "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter0", "arm_name": "gin_architecture", "description": "Replace GraphSAGE with GIN architecture", "instance_id": 34808415, "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n total used free shared buff/cache available\nMem: 503Gi 5.0Gi 30Gi 17Mi 468Gi 494Gi\nModel name: AMD Ryzen Threadripper PRO 3955WX 16-Cores", "metrics": { "val_mae": 4.7651, "val_mse": 67.891, "val_r2": 0.6363, "best_val_loss": 67.8222, "conv_type": "SAGE", "hidden_dim": 64, "num_layers": 3, "dropout": 0.1, "learning_rate": 0.001, "epochs": 50 }, "exit_code": 0, "error": "", "duration_seconds": 380.80868418799946, "timestamp": "2026-04-13T04:21:17.082525+00:00" }, "increased_hidden_dim": { "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter0", 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486Gi\nModel name: AMD EPYC 7B13 64-Core Processor", "metrics": { "val_mae": 4.7114, "val_mse": 68.233, "val_r2": 0.6345, "best_val_loss": 68.2024, "conv_type": "SAGE", "hidden_dim": 64, "num_layers": 3, "dropout": 0.1, "learning_rate": 0.001, "epochs": 50 }, "exit_code": 0, "error": "", "duration_seconds": 370.16381801999523, "timestamp": "2026-04-13T04:21:17.082544+00:00" }, "weight_decay_regularization": { "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter0", "arm_name": "weight_decay_regularization", "description": "Apply L2 weight decay of 1e-5", "instance_id": 34808448, "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n total used free shared buff/cache available\nMem: 503Gi 61Gi 176Gi 90Mi 265Gi 437Gi\nModel name: AMD EPYC 7713 64-Core Processor", "metrics": { "val_mae": 4.9619, "val_mse": 68.2378, "val_r2": 0.6345, "best_val_loss": 68.2068, "conv_type": "SAGE", "hidden_dim": 64, "num_layers": 3, "dropout": 0.1, "learning_rate": 0.001, "epochs": 50 }, "exit_code": 0, "error": "", "duration_seconds": 1015.0197936969926, "timestamp": "2026-04-13T04:21:17.082551+00:00" }, "deeper_network": { "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter0", "arm_name": "deeper_network", "description": "Increase number of layers to 5", "instance_id": 34808458, "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n total used free shared buff/cache available\nMem: 566Gi 23Gi 136Gi 99Mi 406Gi 537Gi\nModel name: AMD EPYC 7763 64-Core Processor", "metrics": { "val_mae": 4.718, "val_mse": 68.381, "val_r2": 0.6337, "best_val_loss": 68.379, "conv_type": "SAGE", "hidden_dim": 64, "num_layers": 3, "dropout": 0.1, "learning_rate": 0.001, "epochs": 50 }, "exit_code": 0, "error": "", "duration_seconds": 828.7385086470022, "timestamp": "2026-04-13T04:21:17.082557+00:00" }, "gcn_architecture": { "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter0", 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16\n---\n total used free shared buff/cache available\nMem: 1.0Ti 157Gi 411Gi 42Gi 438Gi 801Gi\nModel name: AMD EPYC 7B13 64-Core Processor", "metrics": { "val_mae": 4.7652, "val_mse": 68.5374, "val_r2": 0.6329, "best_val_loss": 68.4501, "conv_type": "SAGE", "hidden_dim": 64, "num_layers": 3, "dropout": 0.1, "learning_rate": 0.001, "epochs": 50 }, "exit_code": 0, "error": "", "duration_seconds": 909.888803438007, "timestamp": "2026-04-13T05:01:51.629069+00:00" }, "gcn_architecture": { "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter1", "arm_name": "gcn_architecture", "description": "Replace GraphSAGE with GCN architecture", "instance_id": 34811227, "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n total used free shared buff/cache available\nMem: 251Gi 137Gi 29Gi 160Mi 84Gi 110Gi\nModel name: AMD EPYC 7B12 64-Core Processor", "metrics": { "val_mae": 4.6876, "val_mse": 68.2119, "val_r2": 0.6346, "best_val_loss": 68.1825, "conv_type": "SAGE", "hidden_dim": 64, "num_layers": 3, "dropout": 0.1, "learning_rate": 0.001, "epochs": 50 }, "exit_code": 0, "error": "", "duration_seconds": 400.41222775599454, "timestamp": "2026-04-13T05:01:51.629639+00:00" }, "gat_architecture": { "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter1", "arm_name": "gat_architecture", "description": "Replace GraphSAGE with GAT architecture", "instance_id": 34811231, "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n total used free shared buff/cache available\nMem: 503Gi 175Gi 61Gi 15Gi 267Gi 308Gi\nModel name: AMD EPYC 7443P 24-Core Processor", "metrics": { "val_mae": 4.7884, "val_mse": 67.7432, "val_r2": 0.6371, "best_val_loss": 67.6519, "conv_type": "SAGE", "hidden_dim": 64, "num_layers": 3, "dropout": 0.1, "learning_rate": 0.001, "epochs": 50 }, "exit_code": 0, "error": "", "duration_seconds": 350.0156822659919, "timestamp": "2026-04-13T05:01:51.629655+00:00" }, "graphconv_architecture": { "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter1", "arm_name": "graphconv_architecture", "description": "Replace GraphSAGE with GraphConv architecture", "instance_id": 34811234, "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n total used free shared buff/cache available\nMem: 503Gi 3.6Gi 378Gi 27Mi 121Gi 495Gi\nModel name: AMD EPYC 7282 16-Core Processor", "metrics": { "val_mae": 4.6766, "val_mse": 68.8789, "val_r2": 0.631, "best_val_loss": 68.8231, "conv_type": "SAGE", "hidden_dim": 64, "num_layers": 3, "dropout": 0.1, "learning_rate": 0.001, "epochs": 50 }, "exit_code": 0, "error": "", "duration_seconds": 502.6296168830013, "timestamp": "2026-04-13T05:01:51.629665+00:00" }, "increased_hidden_dim_128": { "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter1", "arm_name": "increased_hidden_dim_128", "description": "Increase hidden dimension to 128", "instance_id": 34811238, "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n total used free shared buff/cache available\nMem: 141Gi 6.5Gi 98Gi 9.0Mi 36Gi 133Gi\nModel name: AMD Ryzen Threadripper 7970X 32-Cores", "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": { "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter1", "arm_name": "layer_norm", "description": "Add layer normalization to all layers", "instance_id": 34811240, "gpu_info": "", "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": { "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter1", "arm_name": "cosine_annealing_lr", "description": "Use cosine annealing learning rate scheduler", "instance_id": 34811246, "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n total used free shared buff/cache available\nMem: 566Gi 27Gi 130Gi 153Mi 408Gi 532Gi\nModel name: AMD EPYC 7763 64-Core Processor", "metrics": { "val_mae": 4.7982, "val_mse": 68.5735, "val_r2": 0.6327, "best_val_loss": 68.4313, "conv_type": "SAGE", "hidden_dim": 64, "num_layers": 3, "dropout": 0.1, "learning_rate": 0.001, "epochs": 50 }, "exit_code": 0, "error": "", "duration_seconds": 813.3919767069892, "timestamp": "2026-04-13T05:01:51.629686+00:00" }, "huber_loss": { "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter1", "arm_name": "huber_loss", "description": "Use Huber loss instead of MAE", "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": { "val_mae": 4.6219, "val_mse": 67.9053, "val_r2": 0.6363, "best_val_loss": 67.8528, "conv_type": "SAGE", "hidden_dim": 64, "num_layers": 3, "dropout": 0.1, "learning_rate": 0.001, "epochs": 50 }, "exit_code": 0, "error": "", "duration_seconds": 874.0376284039958, "timestamp": "2026-04-13T05:01:51.629692+00:00" } }, "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter2": { "baseline": { "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter2", "arm_name": "baseline", "description": "Original GraphSAGE with hidden_dim=64, 3 layers", "instance_id": 34814450, "gpu_info": "NVIDIA GeForce RTX 4090, 23028 MiB, 1, 16\n---\n total used free shared buff/cache available\nMem: 251Gi 61Gi 134Gi 59Mi 54Gi 186Gi\nModel name: AMD EPYC 7763 64-Core Processor", "metrics": { "val_mae": 4.6946, "val_mse": 68.3496, "val_r2": 0.6339, "best_val_loss": 68.2476, "conv_type": "SAGE", "hidden_dim": 64, "num_layers": 3, "dropout": 0.1, "learning_rate": 0.001, "epochs": 50 }, "exit_code": 0, "error": "", "duration_seconds": 709.6051656240015, "timestamp": "2026-04-13T05:38:00.797679+00:00" }, "gat_with_residuals": { "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter2", "arm_name": "gat_with_residuals", "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": { "val_mae": 4.757, "val_mse": 68.4555, "val_r2": 0.6333, "best_val_loss": 68.3975, "conv_type": "SAGE", "hidden_dim": 64, "num_layers": 3, "dropout": 0.1, "learning_rate": 0.001, "epochs": 50 }, "exit_code": 0, "error": "", "duration_seconds": 964.3877903920074, "timestamp": "2026-04-13T05:38:00.798298+00:00" }, "graphconv_with_skip": { "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter2", "arm_name": "graphconv_with_skip", "description": "Use GraphConv with skip connections between layers", "instance_id": 34814464, "gpu_info": "", "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": { "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter2", "arm_name": "increased_batch_size", "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": { "val_mae": 4.7165, "val_mse": 68.0826, "val_r2": 0.6353, "best_val_loss": 67.9794, "conv_type": "SAGE", "hidden_dim": 64, "num_layers": 3, "dropout": 0.1, "learning_rate": 0.001, "epochs": 50 }, "exit_code": 0, "error": "", "duration_seconds": 347.20319185500557, "timestamp": "2026-04-13T05:38:00.798324+00:00" }, "warmup_cosine_lr": { "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter2", "arm_name": "warmup_cosine_lr", "description": "Use cosine annealing with warmup for learning rate scheduling", "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": { "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter2", "arm_name": "adamw_optimizer", "description": "Use AdamW optimizer instead of Adam", "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": { "val_mae": 4.714, "val_mse": 67.8806, "val_r2": 0.6364, "best_val_loss": 67.8202, "conv_type": "SAGE", "hidden_dim": 64, "num_layers": 3, "dropout": 0.1, "learning_rate": 0.001, "epochs": 50 }, "exit_code": 0, "error": "", "duration_seconds": 417.01239075099875, "timestamp": "2026-04-13T05:38:00.798338+00:00" }, "layer_norm_after_activation": { "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter2", "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": { "val_mae": 4.8022, "val_mse": 67.5635, "val_r2": 0.6381, "best_val_loss": 67.5075, "conv_type": "SAGE", "hidden_dim": 64, "num_layers": 3, "dropout": 0.1, "learning_rate": 0.001, "epochs": 50 }, "exit_code": 0, "error": "", "duration_seconds": 396.3442929920129, "timestamp": "2026-04-13T05:38:00.798344+00:00" }, "multi_head_gat": { "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter2", "arm_name": "multi_head_gat", "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": { "val_mae": 4.7207, "val_mse": 67.6547, "val_r2": 0.6376, "best_val_loss": 67.5544, "conv_type": "SAGE", "hidden_dim": 64, "num_layers": 3, "dropout": 0.1, "learning_rate": 0.001, "epochs": 50 }, "exit_code": 0, "error": "", "duration_seconds": 1016.0155797129992, "timestamp": "2026-04-13T05:38:00.798351+00:00" } } }