temporal-twins-code / src /graph /node_features.py
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import numpy as np
import pandas as pd
def build_node_features(df: pd.DataFrame, users: pd.DataFrame):
"""
Returns zero node features.
This is intentional: the benchmark is designed so that static structural
features carry NO signal. Only temporal memory (TGN) can solve the task.
XGBoost / GNN with static features must fail — proving temporal necessity.
"""
user_ids = users["user_id"].values
return np.zeros((len(user_ids), 2), dtype=np.float32)