DB-2024.md

September 30, 2025 ยท View on GitHub

SIGMOD

Research Papers

  1. Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks
  2. The Battleship Approach to the Low Resource Entity Matching Problem

Industrial Papers

  1. COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at Amazon

Keynotes and Tutorials

  1. The Journey to a Knowledgeable Assistant with Retrieval-Augmented Generation (RAG) - by Dr. Luna Dong at Meta

ICDE

Research Papers

  1. Knowledge Graph Enhanced Multimodal Transformer for Image-Text Retrieval
  2. Representation Learning for Entity Alignment in Knowledge Graph: A Design Space Exploration
  3. Multi-modal Siamese Network for Few-shot Knowledge Graph Completion
  4. Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient Modeling
  5. KGLink: A column type annotation method that combines knowledge graph and pre-trained language model
  6. KartGPS: Knowledge Base Update with Temporal Graph Pattern-based Semantic Rules
  7. MultiEM: Efficient and Effective Unsupervised Multi-Table Entity Matching
  8. Fairness-aware Data Preparation for Entity Matching
  9. Generating Explanations to Understand and Repair Embedding-based Entity Alignment
  10. Ambiguous Entity Oriented Targeted Document Detection
  11. Explaining Entity Matching with Clusters of Words
  12. A Coarse-to-Fine Framework for Entity-Relation Joint Extraction
  13. Towards Semantic Consistency: Dirichlet Energy Driven Robust Multi-Modal Entity Alignment
  14. Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration
  15. FieldSwap: Data Augmentation for Effective Form-Like Document Extraction
  16. SACH: Significant-attributed Community Search in Heterogeneous Information Networks
  17. Efficient Core Decomposition over Large Heterogeneous Information Networks
  18. Self-Training GNN-based Community Search in Large Attributed Heterogeneous Information Networks
  19. KGLiDS: A Platform for Semantic Abstraction, Linking, and Automation of Data Science

Industrial Papers

  1. Enabling Roll-up and Drill-down Operations in News Exploration with Knowledge Graphs for Due Diligence and Risk Management

Demos

  1. KGSEC: A Modular Framework for Knowledge Graph Schema Extraction and Comparison
  2. GraphLingo: Domain Knowledge Exploration by Synchronizing Knowledge Graphs and Large Language Models
  3. Entity/Relationship Profiling

PhD Symposium Papers

  1. Construction and enhancement of an RNA-based knowledge graph for discovering new RNA drugs

Lightning Talks

  1. Towards Explainability in Retrieval-Augmented LLMs

TKDE Posters

  1. Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study
  2. Recommending Learning Objects through Attentive Heterogeneous Graph Convolution and Operation-Aware Neural Network

KDD

Research Papers

  1. BoKA: Bayesian Optimization based Knowledge Amalgamation for Multi-unknown-domain Text Classification
  2. AsyncET: Asynchronous Representation Learning for Knowledge Graph Entity Typing
  3. Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion
  4. Path-based Explanation for Knowledge Graph Completion
  5. DiffusionE: Reasoning on Knowledge Graphs via Diffusion-based Graph Neural Networks
  6. How to Avoid Jumping to Conclusions: Measuring the Robustness of Outstanding Facts in Knowledge Graphs
  7. Embedding Two-View Knowledge Graphs with Class Inheritance and Structural Similarity
  8. Conditional Logical Message Passing Transformer for Complex Query Answering
  9. SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for Data Augmentation on Multi-modal Knowledge Graph
  10. Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge Tracing
  11. Ontology Enrichment for Effective Fine-grained Entity Typing
  12. OntoType: Ontology-Guided and Pre-Trained Language Model Assisted Fine-Grained Entity Typing
  13. Causal Subgraph Learning for Generalizable Inductive Relation Prediction
  14. Towards Robust Information Extraction via Binomial Distribution Guided Counterpart Sequence
  15. Reserving-Masking-Reconstruction Model for Self-Supervised Heterogeneous Graph Representation
  16. Large Language Model-driven Meta-structure Discovery in Heterogeneous Information Network
  17. HiGPT: Heterogeneous Graph Language Model

Applied Data Science Track Papers

  1. Hierarchical Knowledge Guided Fault Intensity Diagnosis of Complex Industrial Systems
  2. R-Eval: A Unified Toolkit for Evaluating Domain Knowledge of Retrieval Augmented Large Language Models

Workshops

  1. DEEP LEARNING AND LARGE LANGUAGE MODELS FOR KNOWLEDGE GRAPHS [Website]

Tutorials

  1. Automated Mining of Structured Knowledge from Text in the Era of Large Language Models

VLDB

Research Papers

  1. VeriDKG: A Verifiable SPARQL Query Engine for Decentralized Knowledge Graphs
  2. Efficient and Reliable Estimation of Knowledge Graph Accurac
  3. TIGER: Training Inductive Graph Neural Network for Large-scale Knowledge Graph Reasoning
  4. VQFT: A Visual Query Approach Based on Full-Text Search for Knowledge Graphs
  5. Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution
  6. ZeroEA: A Zero-Training Entity Alignment Framework via Pre-Trained Language Model
  7. FairEM360: A Suite for Responsible Entity Matching
  8. SpannerLib: Embedding Declarative Information Extraction in an Imperative Workflow
  9. Enriching Relations with Additional Attributes for ER

Application and Experience

  1. Dealing with Acronyms, Abbreviations, and Typos in Real-World Entity Matching

Industrial Papers

  1. KGFabric: A Scalable Knowledge Graph Warehouse for Enterprise Data Interconnection

Workshops

  1. International Workshop on Data Management Opportunities in Unifying Large Language Models + Knowledge Graphs (LLM+KG) [Link][Notes]

VLDBJ

TBD

TKDE

TBD