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VLDB 2021

Papers Related to KGs/Data Integration

  1. Materializing Knowledge Bases via Trigger Graphs [Paper]
  2. Deep Entity Matching with Pre-Trained Language Models [Paper]
  3. CBench: Towards Better Evaluation of Question Answering Over Knowledge Graphs [Paper]
  4. Improving Information Extraction from Visually Rich Documents using Visual Span Representations [Paper]
  5. Keynote: Knowledge Graphs 2021: A Data Odyssey [PDF]
  • A good talk which points out open challenges in KGs in DB area.

Papers of Other Interesting Topics:

  1. Scaling Atributed Network Embedding to Massive Graphs [Paper]

ICDE 2021

  1. Fast Core-based Top-k Frequent Pattern Discovery in Knowledge Graphs
  2. NewsLink: Empowering Intuitive News Search with Knowledge Graphs
  3. Property Graph Schema Optimization for Domain-Specific Knowledge Graphs [Paper]
  4. Efficient Relation-Aware Scoring Function Search for Knowledge Graph Embedding
  5. SAKE: Spatial Question Answering over Knowledge Graph Based on Embedding Techniques
  6. Influence Maximization Based on Dynamic Personal Perception in Knowledge Graph
  7. End-to-end Task Based Parallelization for Entity Resolution on Dynamic Data
  8. Cost–effective Variational Active Entity Resolution
  9. Automating Entity Matching Model Development
  10. Bootstrapping Information Extraction via Conceptualization

Short papers or Demos：

  1. CREATe: Clinical Report Extraction and Annotation Technology
  2. CaSIE: Canonicalize and Informative Selection of the OpenIE System

VLDBJ 2021

  1. Efficient and effective ER with progressive blocking [Paper]
  2. Mis-categorized entities detection [Paper]
  3. Simple and automated negative sampling for knowledge graph embedding [Paper]
  4. Querying subjective data [Paper]

TKDE 2021

  1. Open Relation Extraction for Chinese Noun Phrases [Paper]
  2. A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective [Paper]
  3. An Embedding-Based Approach to Rule Learning in Knowledge Graphs [Paper]
  4. Neural Named Entity Boundary Detection [Paper]
  5. Learning Dynamic User Interest Sequence in Knowledge Graphs for Click-Through Rate Prediction [Paper]

Some interesting papers:

  1. Duration Modeling with Semi-Markov Conditional Random Fields for Keyphrase Extraction
  2. Optimizing Multi-Query Evaluation in Federated RDF Systems [Paper] 🤩

SIGMOD 2021

  1. Joint Open Knowledge Base Canonicalization and Linking
  2. TENET: Joint Entity and Relation Linking with Coherence Relaxation
  3. Online Topic-Aware Entity Resolution Over Incomplete Data Streams
  4. Medical Entity Disambiguation using Graph Neural Networks
  5. Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond
  6. (Demo) QuTE: Answering Quantity Queries from Web Tables [Demo]
  • Related Reading: Extracting Contextualized Quantity Facts from Web Tables (WWW 2021)

Some interesting papers：

  1. Efficient Exploration of Interesting Aggregates in RDF Graphs
  2. Versatile Equivalences: Speeding up Subgraph Query Processing and Subgraph Matching

KDD 2021

  1. Context-aware Outstanding Fact Mining from Knowledge Graphs
  2. Relational Message Passing for Knowledge Graph Completion
  3. Learning to Walk across Time for Interpretable Temporal Knowledge Graph Completion
  4. Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning
  5. Representation Learning on Knowledge Graphs for Node Importance Estimation
  6. AliCoCo2: Commonsense Knowledge Extraction, Representation and Application in E-commerce
  7. KompaRe: A Knowledge Graph Comparative Reasoning System
  8. Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition
  9. Tolerating Data Missing in Breast Cancer Diagnosis from Clinical Ultrasound Reports via Knowledge Graph Inference
  10. GEM: Translation-free Zero-shot Global Entity Matcher for Global Catalogs
  11. Medical Entity Relation Verification with Large-scale MachineReading Comprehension
  12. Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations
  13. Knowledge-Enhanced Domain Adaptation in Few-Shot Relation Classification

KDD 2021 summary of NLP relared papers from industry [Notes]

Other intersting papers：

  1. Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks [Paper]

Topic Summary:

  • Entity Matching/Entity Resolution 7
  • QA 2
  • Information Extration (including named entity recognition/relation extraction/canolicalization) 6
  • KGE 3
  • Query on KG 3
  • KG Schema 1
  • Entity Linking and Entity Dismabiguation 3
  • Others 3