where g i and t i denote the feature vectors obtained from ALIGNN and MatSciBERT for an i-th sample in the mini-batch, respectively; P g and P t denote the projection heads for graphs and texts, which project graph and text embedding vectors into the same dimension (128-dimension in the experiments); τ denotes the trainable temperature parameter .