Merge

examples/benchmarks/CatBoost/README.md

@@ -0,0 +1,3 @@
+# CatBoost
+* Code: [https://github.com/catboost/catboost](https://github.com/catboost/catboost)
+* Paper: CatBoost: unbiased boosting with categorical features. [https://proceedings.neurips.cc/paper/2018/file/14491b756b3a51daac41c24863285549-Paper.pdf](https://proceedings.neurips.cc/paper/2018/file/14491b756b3a51daac41c24863285549-Paper.pdf).

examples/benchmarks/GATs/workflow_config_gats.yaml

@@ -37,9 +37,10 @@ task:
             lr: 1e-3
             early_stop: 20
             batch_size: 800
-            metric: IC
+            metric: loss
             loss: mse
-            base_model: GRU
+            base_model: LSTM
+            with_pretrain: True
             seed: 0
             GPU: 0
     dataset:

examples/benchmarks/LightGBM/README.md

@@ -0,0 +1,4 @@
+# LightGBM
+* Code: [https://github.com/microsoft/LightGBM](https://github.com/microsoft/LightGBM)
+* Paper: LightGBM: A Highly Efficient Gradient Boosting
+Decision Tree. [https://proceedings.neurips.cc/paper/2017/file/6449f44a102fde848669bdd9eb6b76fa-Paper.pdf](https://proceedings.neurips.cc/paper/2017/file/6449f44a102fde848669bdd9eb6b76fa-Paper.pdf).

examples/benchmarks/XGBoost/README.md

@@ -0,0 +1,3 @@
+# XGBoost
+* Code: [https://github.com/dmlc/xgboost](https://github.com/dmlc/xgboost)
+* Paper: XGBoost: A Scalable Tree Boosting System. [https://dl.acm.org/doi/pdf/10.1145/2939672.2939785](https://dl.acm.org/doi/pdf/10.1145/2939672.2939785).

examples/workflow_by_code_gats.py

@@ -70,9 +70,10 @@ if __name__ == "__main__":
                 "lr": 1e-3,
                 "early_stop": 20,
                 "batch_size": 800,
-                "metric": "IC",
+                "metric": "loss",
                 "loss": "mse",
-                "base_model": "GRU",
+                "base_model": "LSTM",
+                "with_pretrain": True,
                 "seed": 0,
                 "GPU": 0,
             },