Skip to content

Latest commit

 

History

History
102 lines (87 loc) · 5.52 KB

DB-2022.md

File metadata and controls

102 lines (87 loc) · 5.52 KB

VLDB 2022

Knowledgw Graphs

  1. LargeEA: Aligning Entities for Large-scale Knowledge Graphs
  2. Parallel Training of Knowledge Graph Embedding Models: A Comparison of Techniques
  3. Automated Relational Data Explanation using External Semantic Knowledge
  4. SmartBench: Demonstrating Automatic Generation of Comprehensive Benchmarks for Question Answering Over Knowledge Graphs

Information Extration

  1. Deep Indexed Active Learning for Matching Heterogeneous Entity Representations [Paper] [Code]
  2. Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation
  3. Entity Resolution On-Demand
  4. Analyzing How BERT Performs Entity Matching
  5. A Critical Re-evaluation of Neural Methods for Entity Alignment
  6. CERTEM: Explaining and Debugging Black-box Entity Resolution Systems with CERTA
  7. DADER: Hands-Off Entity Resolution with Domain Adaptation
  8. Blueprint: a constraint-solving approach for document extraction
  9. MATE: Multi-Attribute Table Extraction

Other Interesting Papers

  1. Modern Techniques for Querying Graph-Structured Relations: Foundations, System Implementations, and Open Challenges
  2. Automated Relational Data Explanation using External Semantic Knowledge
  3. SANCUS: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks (Best Paper)

ICDE 2022

Data Extraction, Integration and Cleaning

  1. Linking Entities across Relations and Graphs
  2. Deep and Collective Entity Resolution in Parallel
  3. Provenance-aware Discovery of Functional Dependencies on Integrated Views
  4. Unsupervised Matching of Data and Text
  5. Effective Few-Shot Named Entity Linking by Meta-Learning
  6. Synthesizing Entity Resolution Datasets
  7. Effective Explanations for Entity Resolution Models
  8. Semantic Driven Embedding Learning for Effective Entity Alignment
  9. Boosting Entity Mention Detection for Targetted Twitter Streams with Global Contextual Embeddings

Data Mining and Knowledge Discovery

  1. Crowdsourced Fact Validation for Knowledge Bases

Recommendation

  1. Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation

Graph data management

  1. Personalized Graph Summarization: Formulation, Scalable Algorithms, and Applications
  2. Aggregate Queries on Knowledge Graphs: Fast Approximation with Semantic-aware Sampling
  3. Exploration of Knowledge Graphs via Online Aggregation
  4. Accelerating Entity Lookups in Knowledge Graphs Through Embeddings
  5. Clustering-based Partitioning for Large Web Graphs

GNN Related

  1. HET-KG: Communication-Efficient Knowledge Graph Embedding Training via Hotness-Aware Cache

Other Interesting Works

  1. LAN: Learning-based Approximate k-Nearest Neighbor Search in Graph Databases
  2. Estimating Node Importance Values in Heterogeneous Information Networks
  3. Academic Expert Finding via (K,P)-Core based Embedding over Heterogeneous Graphs
  4. HybridGNN: Learning Hybrid Representation in Multiplex Heterogeneous Networks
  5. Evaluating Complex Queries on Streaming Graphs

KDD 2022

Graphs and Network

  1. SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs
  2. Ultrahyperbolic Knowledge Graph Embeddings
  3. RLogic: Recurrent Logical Rule Learning from Knowledge Graphs
  4. LinE: Logical Query Reasoning over Hierarchical Knowledge Graphs
  5. Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries
  6. Evaluating Knowledge Graph Accuracy Powered by Optimized Human-machine Collaboration
  7. Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs
  8. Multi-View Clustering for Open Knowledge Base Canonicalization
  9. Joint Knowledge Graph Completion and Question Answering

Text Mining and Information Extraction

  1. SagDRE: Sequence-Aware Graph-Based Document-Level Relation Extraction with Adaptive Margin Loss
  2. Unsupervised Key Event Detection from Massive Text Corpora (Haiyaa, why use sensitive example??)
  3. TaxoTrans: Taxonomy-Guided Entity Translation
  4. Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation
  5. Disentangled Ontology Embedding for Zero-shot Learning
  6. Communication-Efficient Robust Federated Learning with Noisy Labels

Best papers (most of them are related to graph representation learning)

  1. FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning
  2. Learning Causal Effects on Hypergraphs
  3. Searching and Mining Trillions of Time Series Subsequences under Dynamic Time Warping
  4. Discovering Regions of Different Functions in a City Using Human Mobility and POls
  5. Towards Expressive and Scalable Deep Representation Learning for Graphs
  6. Graph Representation Learning: Spectral Theory and Self-supervised Learning
  7. Adversarial Robustness of Graph Neural Networks

SIGMOD 2022

KG Embedding

  1. Compact Walks: Taming Knowledge-Graph Embeddings with Domain- and Task-Specific Pathways
  2. Explaining Link Prediction Systems based on Knowledge Graph Embeddings

Entity Resoultion

  1. Domain Adaptation for Deep Entity Resolution
  2. Entity Resolution with Hierarchical Graph Attention Networks
  3. Hierarchical Entity Resolution using an Oracle

Others

  1. Leva: Boosting Machine Learning Performance with Relational Embedding Data Augmentation
  2. Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale (Industrial)
  3. Pythia: Unsupervised Generation of Ambiguous Textual Claims from Relational Data (Demo)