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Complex Query Answering
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This task is concerned with answering complex queries over incomplete knowledge graphs. In the most simple case, the task is reduced to link prediction: a 1-hop query for predicting the existence of an edge between a pair of nodes. Complex queries are concerned with other structures between nodes, such as 2-hop and 3-paths, and intersecting paths with intermediate variables.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Transformers for Complex Query Answering over Knowledge Hypergraphs
Neural-Symbolic Message Passing with Dynamic Pruning
Is Complex Query Answering Really Complex?
A Foundation Model for Zero-shot Logical Query Reasoning
Meta Operator for Complex Query Answering on Knowledge Graphs
Federated Neural Graph Databases
Conditional Logical Message Passing Transformer for Complex Query Answering
Type-based Neural Link Prediction Adapter for Complex Query Answering
Understanding Inter-Session Intentions via Complex Logical Reasoning
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
Query2Triple: Unified Query Encoding for Answering Diverse Complex Queries over Knowledge Graphs
$\text{EFO}_{k}$-CQA: Towards Knowledge Graph Complex Query Answering beyond Set Operation
Knowledge Graph Reasoning over Entities and Numerical Values
Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints
Sequential Query Encoding For Complex Query Answering on Knowledge Graphs
Adapting Neural Link Predictors for Data-Efficient Complex Query Answering
Logical Message Passing Networks with One-hop Inference on Atomic Formulas
Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization
NQE: N-ary Query Embedding for Complex Query Answering over Hyper-Relational Knowledge Graphs
Inductive Logical Query Answering in Knowledge Graphs
Neural-Symbolic Entangled Framework for Complex Query Answering
Neural-Symbolic Models for Logical Queries on Knowledge Graphs
Query2Particles: Knowledge Graph Reasoning with Particle Embeddings
Benchmarking the Combinatorial Generalizability of Complex Query Answering on Knowledge Graphs
Logic Embeddings for Complex Query Answering
Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification
Complex Query Answering with Neural Link Predictors
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs
Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings
Embedding Logical Queries on Knowledge Graphs
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.