PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters This repository contains a PyTorch implementation of ICLR 2024 paper " PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable ...

Learning embeddings for entities and relations in knowledge graph (KG) have benefited many downstream tasks. In recent years, scoring functions, the crux of KG learning, have been human designed to ...

Offical code for Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning - Wei9711/LTSCG ...