Update exp/fig14a/README.md, exp/fig14b/README.md, exp/README.md

SJTU-IPADS · Mar 11, 2022 · 22eef33 · 22eef33
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diff --git a/exp/README.md b/exp/README.md
@@ -92,7 +92,7 @@ SGNN                        3.26     5.96   4.14  13.37    # logs_sgnn/test3.log
 |    Fig12   |       33 tests       |      30 mins      |
 |    Fig13   |       33 tests       |      30 mins      |
 |   Fig14a   |       34 tests       |      32 mins      |
-|   Fig14b   |       34 tests       |      XX mins      |
+|   Fig14b   |       34 tests       |      23 mins      |
 |    Fig15   |       36 tests       |      40 mins      |
 |   Fig16a   |        3 tests       |      25 mins      |
 |   Fig17a   |       14 tests       |      20 mins      |

diff --git a/exp/fig14a/README.md b/exp/fig14a/README.md
@@ -2,6 +2,8 @@
 
 The goal of this experiment is to show the scalability performance of DGL, SGNN and FGNN on GCN model.
 
+Dataset: obg-papers
+
 - `run.py` is the runner script.
 - `logtable_def.py` defines log parsing rules.
 
@@ -77,10 +79,7 @@ output_2022-01-29_20-10-39
 2       9.85    6.94    4.10    -       -
 3       7.15    5.15    2.16    4.20    -
 4       6.01    4.18    1.48    2.15    4.15
-5       5.22    3.65    1.14    1.47    2.18
-6       4.75    3.41    1.05    1.13    1.46
-7       4.40    3.23    1.05    0.94    1.13
-8       4.27    2.83    1.03    0.82    0.96
+...
 ```
 
 

diff --git a/exp/fig14b/README.md b/exp/fig14b/README.md
@@ -2,6 +2,8 @@
 
 The goal of this experiment is to show the scalability performance of DGL, SGNN and FGNN on GCN model.
 
+Dataset: twitter
+
 - `run.py` is the runner script.
 - `logtable_def.py` defines log parsing rules.
 
@@ -63,24 +65,22 @@ output_2022-01-29_20-10-39
 ├── fig14b-full.res        # Output data with comments
 ├── fig14b.res             # Output data
 ├── logs_dgl
-└── logs_fgnn
+├── logs_fgnn
+└── logs_sgnn
 
-2 directories, 3 files
+3 directories, 3 files
 ```
 
 
 
 ```sh
 > cat output_2022-01-29_20-10-39/fig14b.res
-"GPUs"  "DGL"   "SGNN"  "1S"    "2S"    "3S"
-1       18.45   10.02   -       -       -
-2       9.85    6.94    4.10    -       -
-3       7.15    5.15    2.16    4.20    -
-4       6.01    4.18    1.48    2.15    4.15
-5       5.22    3.65    1.14    1.47    2.18
-6       4.75    3.41    1.05    1.13    1.46
-7       4.40    3.23    1.05    0.94    1.13
-8       4.27    2.83    1.03    0.82    0.96
+"GPUs"	"DGL"	"SGNN"	"1S"	"2S"	"3S"
+1   11.86	5.47	-	-	-
+2	7.07	4.26	1.69	-	-
+3	5.65	3.20	0.95	1.70	-
+4	4.88	2.65	0.71	0.97	1.69
+...
 ```