Siqiang Luo

BATON: Batch One-Hop Personalized PageRanks with Efficiency and Accuracy

2019 · IEEE Transactions on Knowledge and Data Engineering

Personalized PageRank (PPR) is a classic measure of the relevance among different nodes in a graph, and has been applied in numerous systems, such as Twitter's Who-To-Follow and Pinterest's Related Pins. Existing work on PPR …

Distributed Graph Embedding with Information-Oriented Random Walks

2023 · Proceedings of the VLDB Endowment

Graph embedding maps graph nodes to low-dimensional vectors, and is widely adopted in machine learning tasks. The increasing availability of billion-edge graphs underscores the importance of learning efficient and effective embeddings on large graphs, such …

A Survey on Learning from Graphs with Heterophily: Recent Advances and Future Directions

2024 · arXiv (Cornell University)

Graphs are structured data that models complex relations between real-world entities. Heterophilic graphs, where linked nodes are prone to be with different labels or dissimilar features, have recently attracted significant attention and found many real-world …

Advances in Designing Scalable Graph Neural Networks: The Perspective of Graph Data Management

2025

Graph Neural Network (GNN) is a successful marriage of graph data management and deep learning, leading to notable improvements in learning quality over graphs. This advancement highly impacts graph-based applications in many areas, including computer …