In this paper, we propose a novel contrastive learning framework for investigating the complementary knowledge in different knowledge graphs, which achieves superior fake news detection performance.

Additionally, they use ordinary graphs to model one-to-one item correlations in the current session and fail to leverage other sessions to learn richer higher-order item correlations. To address these ...

RNA molecules exhibit diverse structures and functions, making them promising drug targets. However, predicting RNA-small molecule binding affinity remains challenging due to limited experimental data ...

Key Features Heterogeneous Graph Support: Define and use any number of meta-paths (e.g., Author-Conference-Author) to capture rich semantic relationships. Efficient High-Order Projections: Implements ...