GitHub

KGBridge: Knowledge-Guided Prompt Learning for Non-overlapping Cross-Domain Recommendation

This repository provides the PyTorch implementation for the paper: "KGBridge: Knowledge-Guided Prompt Learning for Non-overlapping Cross-Domain Recommendation". KGBridge is a cross-domain ...

Physicists develop new protocol for building photonic graph states

Physicists have long recognized the value of photonic graph states in quantum information processing. However, the difficulty ...
IEEE

A Survey on Knowledge Graph Structure and Knowledge Graph Embeddings

Abstract: Knowledge Graphs (KGs) and their machine learning counterpart, Knowledge Graph Embedding Models (KGEMs), have seen ever-increasing use in a wide variety of academic and applied settings. In ...
IEEE

Distill to Delete: Unlearning in Graph Networks With Knowledge Distillation

Abstract: Graph unlearning has emerged as a pivotal method to delete information from an already trained graph neural network (GNN). One may delete nodes, a class of nodes, edges, or a class of edges.