Siqiang Luo

Orcid: 0000-0001-8197-0903

According to our database1, Siqiang Luo authored at least 59 papers between 2012 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Unifews: Unified Entry-Wise Sparsification for Efficient Graph Neural Network.
CoRR, 2024

LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs.
CoRR, 2024

Towards Learning from Graphs with Heterophily: Progress and Future.
CoRR, 2024

2023
Seesaw Counting Filter: A Dynamic Filtering Framework for Vulnerable Negative Keys.
IEEE Trans. Knowl. Data Eng., December, 2023

Efficient Community Search in Edge-Attributed Graphs.
IEEE Trans. Knowl. Data Eng., October, 2023

Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads.
Proc. ACM Manag. Data, September, 2023

Single-Source Personalized PageRanks With Workload Robustness.
IEEE Trans. Knowl. Data Eng., June, 2023

Machine Learning for Subgraph Extraction: Methods, Applications and Challenges.
Proc. VLDB Endow., 2023

Effective and Efficient Route Planning Using Historical Trajectories on Road Networks.
Proc. VLDB Endow., 2023

Distributed Graph Embedding with Information-Oriented Random Walks.
Proc. VLDB Endow., 2023

Label Propagation for Graph Label Noise.
CoRR, 2023

River of No Return: Graph Percolation Embeddings for Efficient Knowledge Graph Reasoning.
CoRR, 2023

SIMGA: A Simple and Effective Heterophilous Graph Neural Network with Efficient Global Aggregation.
CoRR, 2023

Massively Parallel Single-Source SimRanks in o(log n) Rounds.
CoRR, 2023

Less is More: Towards Lightweight Cost Estimator for Database Systems.
CoRR, 2023

LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Example Searcher: A Spatial Query System via Example.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

COCLEP: Contrastive Learning-based Semi-Supervised Community Search.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Multi-Task Processing in Vertex-Centric Graph Systems: Evaluations and Insights.
Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

Deep Graph Structural Infomax.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Leveraging enterprise knowledge graph to infer web events' influences via self-supervised learning.
J. Web Semant., 2022

SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization.
Proc. VLDB Endow., 2022

Distributed PageRank computation with improved round complexities.
Inf. Sci., 2022

SI-News: Integrating social information for news recommendation with attention-based graph convolutional network.
Neurocomputing, 2022

Learning-Based Approaches for Graph Problems: A Survey.
CoRR, 2022

Seesaw Counting Filter: An Efficient Guardian for Vulnerable Negative Keys During Dynamic Filtering.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Proteus: A Self-Designing Range Filter.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

DMCS : Density Modularity based Community Search.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Efficiently Answering k-hop Reachability Queries in Large Dynamic Graphs for Fraud Feature Extraction.
Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

Spiking Graph Convolutional Networks.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Finding Global Homophily in Graph Neural Networks When Meeting Heterophily.
Proceedings of the International Conference on Machine Learning, 2022

VC-Tune: Tuning and Exploring Distributed Vertex-Centric Graph Systems.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Example-based Spatial Search at Scale.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Multi-scale Time Based Stock Appreciation Ranking Prediction via Price Co-movement Discrimination.
Proceedings of the Database Systems for Advanced Applications, 2022

2021
Agenda: Robust Personalized PageRanks in Evolving Graphs.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
BATON: Batch One-Hop Personalized PageRanks with Efficiency and Accuracy.
IEEE Trans. Knowl. Data Eng., 2020

ROAM: A Fundamental Routing Query on Road Networks with Efficiency.
IEEE Trans. Knowl. Data Eng., 2020

Rosetta: A Robust Space-Time Optimized Range Filter for Key-Value Stores.
Proceedings of the 2020 International Conference on Management of Data, 2020

Improved Communication Cost in Distributed PageRank Computation - A Theoretical Study.
Proceedings of the 37th International Conference on Machine Learning, 2020

Fusing Global Domain Information and Local Semantic Information to Classify Financial Documents.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
On Spatial-Aware Community Search.
IEEE Trans. Knowl. Data Eng., 2019

Efficient Batch One-Hop Personalized PageRanks.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

MPR - A Partitioning-Replication Framework for Multi-Processing kNN Search on Road Networks.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Distributed PageRank Computation: An Improved Theoretical Study.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
TOAIN: A Throughput Optimizing Adaptive Index for Answering Dynamic kNN Queries on Road Networks.
Proc. VLDB Endow., 2018

ROSC: Robust Spectral Clustering on Multi-scale Data.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

2017
Effective and efficient attributed community search.
VLDB J., 2017

On Minimal Steiner Maximum-Connected Subgraph Queries.
IEEE Trans. Knowl. Data Eng., 2017

Effective Community Search over Large Spatial Graphs.
Proc. VLDB Endow., 2017

C-Explorer: Browsing Communities in Large Graphs.
Proc. VLDB Endow., 2017

SEQ: Example-based Query for Spatial Objects.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

On Embedding Uncertain Graphs.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Effective Community Search for Large Attributed Graphs.
Proc. VLDB Endow., 2016

Querying Minimal Steiner Maximum-Connected Subgraphs in Large Graphs.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2014
Distributed Spatial Keyword Querying on Road Networks.
Proceedings of the 17th International Conference on Extending Database Technology, 2014

2013
A RAMCloud Storage System based on HDFS: Architecture, implementation and evaluation.
J. Syst. Softw., 2013

Shortest path and distance queries on road networks: towards bridging theory and practice.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

2012
DISKs: A System for Distributed Spatial Group Keyword Search on Road Networks.
Proc. VLDB Endow., 2012

Multi-operator image retargeting with automatic integration of direct and indirect seam carving.
Image Vis. Comput., 2012


  Loading...