Fixed bug in examples that failed integration tests

.gitignore

@@ -166,3 +166,6 @@ submitit*
 
 # Benchmarks
 .benchmarks
+
+# TGB-seq data cache
+data/

examples/graphproppred/gcn.py

@@ -317,7 +317,7 @@ def eval(
     log_metrics_dict(train_results, epoch=epoch)
     log_metrics_dict(val_results, epoch=epoch)
 
-    val_score = val_results['BinaryAUROC']
+    val_score = val_results['ValidationBinaryAUROC']
     if val_score > best_val:
         best_val = val_score
         test_results = eval(test_loader, test_labels, encoder, decoder, test_metrics)

examples/graphproppred/tgcn.py

@@ -298,7 +298,7 @@ def eval(
     log_metrics_dict(train_results, epoch=epoch)
     log_metrics_dict(val_results, epoch=epoch)
 
-    val_score = val_results['BinaryAUROC']
+    val_score = val_results['ValidationBinaryAUROC']
     if val_score > best_val:
         best_val = val_score
         test_results, h_0 = eval(

examples/linkproppred/ctan.py

@@ -234,7 +234,7 @@ def compute_delta_t_stats(train_dg: DGraph) -> Tuple[float, float]:
 )
 train_key, val_key, test_key = hm.keys
 hm.register_shared(nbr_hook)
-hm.register_shared(DeduplicationHook())
+hm.register_shared(DeduplicationHook(seed_nodes_keys=['neg', 'nbr_nids']))
 
 train_loader = DGDataLoader(train_dg, args.bsize, hook_manager=hm)
 val_loader = DGDataLoader(val_dg, args.bsize, hook_manager=hm)

examples/linkproppred/roland.py

@@ -204,7 +204,7 @@ def eval(
             except StopIteration:
                 pass
 
-    z = z.detach()
+    z[0], z[1] = z[0].detach(), z[1].detach()
     return float(np.mean(perf_list)), z
 
 

examples/linkproppred/tgb_seq/edgebank.py

@@ -1,4 +1,5 @@
 import argparse
+from typing import Set
 
 import numpy as np
 import torch
@@ -64,7 +65,13 @@ def eval(
 
 
 class TGBSEQ_NegativeEdgeSamplerHook(StatelessHook):
-    produces = {'neg', 'neg_time'}
+    @property
+    def produces(self) -> Set[str]:
+        return {'neg', 'neg_time'}
+
+    @property
+    def requires(self) -> Set[str]:
+        return {'edge_src', 'edge_dst', 'edge_time'}
 
     def __init__(
         self, dataset_name: str, split_mode: str, dgraph: DGraph, root: str = './data'

test/integration/test_base3.py

@@ -8,7 +8,7 @@
         '--partition=main',
         '--cpus-per-task=2',
         '--mem=4G',
-        '--time=0:05:00',
+        '--time=0:20:00',
     ]
 )
 def test_base3_linkprop_inf_EB_memory(slurm_job_runner, dataset):

test/integration/test_edgebank.py

@@ -44,7 +44,7 @@ def test_edgebank_linkprop_pred_fixed_memory(slurm_job_runner, dataset):
         '--partition=main',
         '--cpus-per-task=2',
         '--mem=8G',
-        '--time=0:15:00',
+        '--time=0:25:00',
     ]
 )
 def test_edgebank_tgb_seq_unlimited_memory(slurm_job_runner, dataset):
@@ -98,7 +98,7 @@ def test_edgebank_linkprop_pred_fixed_memory_thgl(slurm_job_runner, dataset):
         '--partition=main',
         '--cpus-per-task=2',
         '--mem=8G',
-        '--time=1:15:00',
+        '--time=3:00:00',
     ]
 )
 def test_edgebank_linkprop_pred_unlimited_memory_tkgl(slurm_job_runner, dataset):
@@ -116,7 +116,7 @@ def test_edgebank_linkprop_pred_unlimited_memory_tkgl(slurm_job_runner, dataset)
         '--partition=main',
         '--cpus-per-task=2',
         '--mem=8G',
-        '--time=2:00:00',
+        '--time=4:00:00',
     ]
 )
 def test_edgebank_linkprop_pred_fixed_memory_tkgl(slurm_job_runner, dataset):

tgm/hooks/hook_manager.py

@@ -210,7 +210,7 @@ def activate(self, key: str) -> Iterator[None]:
     def _ensure_valid_hook(self, hook: Any) -> None:
         if not isinstance(hook, DGHook):
             raise BadHookProtocolError(
-                f'Cannot register hook {type(hook).__name__}: must implement __call__(dg: DGraph, batch: DGBatch) -> DGBatch and reset_state()'
+                f'Cannot register hook {type(hook).__name__}: must implement __call__(dg: DGraph, batch: DGBatch) -> DGBatch, reset_state(), requires and produces properties.'
             )
 
     def _ensure_no_active_key(self) -> None: