Graph-based reasoning over heterogeneous
WebA tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. WebIncorporating knowledge graph into recommender systems has attracted increasing attention in recent years. By exploring the interlinks within a knowledge graph, the connectivity between users and items can be discovered as paths, which provide rich and complementary information to user-item interactions.
Graph-based reasoning over heterogeneous
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Web• Using a heterogeneous information network to fuse semantic and structural features. • A graph neu... Abstract Topic-based communities have gradually become a considerable medium for netizens to disseminate and acquire knowledge. These communities consist of entities (actual objects, e.g., a real a... WebHighlights • A heterogeneous graph-based evidence representation method is proposed. • A hierarchical reasoning-based node features aggregation strategy is designed. ... G., & Huang, J., et al. (2024). Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs. In Proceedings of the 57th Annual Meeting ...
WebGraph-based Navigation Strategies for Heterogeneous Spatial Data Sets Andrea Rodrı́guez1 and Francisco Godoy2 1 Department of Computer Science, University of Concepción Edmundo Larenas 215, 4070409 Concepción, Chile [email protected] 2 Center for Oceanographic Research in the Eastern South-Pacific FONDAP-COPAS, University …
WebJan 6, 2024 · Performance Factors Analysis - A New Alternative to Knowledge Tracing. Conference Paper. Full-text available. Jan 2009. Phil Pavlik Jr. Hao Cen. Kenneth R. … WebExperimental results on CommonsenseQA dataset illustrate that our graph-based approach over both knowledge sources brings improvement over strong baselines. Our approach achieves the state-of-the-art accuracy (75.3%) on the CommonsenseQA leaderboard. ... Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense …
WebApr 29, 2024 · 论文题目：Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering. 论文来源：AAAI 2024 信工所，北 …
WebApr 3, 2024 · Based on these graphs, we propose a graph-based approach consisting of a graph-based contextual word representation learning module and a graph-based inference module. The first module utilizes graph structural information to re-define the distance … how far is pahrump from renoWebApr 3, 2024 · For path-based knowledge retrieval, [23] have been retrieving reasoning paths from ConceptNet for commonsense reasoning tasks back to 2024, and [15] took a … how far is pahrump to death valleyWebSep 4, 2024 · It represents schema graphs with a novel knowledge-aware graph network module named KagNet, and finally scores answers with graph representations. Our model is based on graph convolutional networks and LSTMs, with a hierarchical path-based attention mechanism. The intermediate attention scores make it transparent and … highbrow internationalWeb《Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering》 来源：AAAI2024 . 关键词：图神经网络、常识问答、知识库、attention how far is paignton from dawlishWebsince it requires an adequate comprehension of the whole document and the multi-hop reasoning ability across multiple sentences to reach the final result. In this paper, we propose a novel graph-based model with Dual-tier Heterogeneous Graph (DHG) for document-level RE. In particular, how far is paia from lahainaWebDec 11, 2024 · 3.2.2 Graph reasoning. To further reason over the heterogeneous graph, we first employ pre-trained word representations GLoVe to represent each node in the high dimensional vector space. After that, bidirectional recurrent neural networks with gated recurrent units (BiGRU) is applied to encode questions, sentences, and candidates … how far is paignton from buckfastleighWebWith the two-level attention mechanism, IARNet can aggregate multi-type information in a hierarchical manner and the information can reason over heterogeneous graph for the facticity of the news. Experimental result shows that our method outperforms the state-of-the-art competitors on real-world datasets with GloVe embeddings. highbrow in maine