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Found 17 papers, 5 papers with code
Learned Accelerator Framework for Angular-Distance-Based High-Dimensional DBSCAN
In this paper, we propose LAF, a generic learned accelerator framework to speed up the original DBSCAN and the sampling-based variants of DBSCAN on high-dimensional data with angular distance metric.
A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge
In this paper, we comprehensively survey previous attempts on such tasks in the form of a series of methods and applications.
Query-Driven Knowledge Base Completion using Multimodal Path Fusion over Multimodal Knowledge Graph
Over the past few years, large knowledge bases have been constructed to store massive amounts of knowledge.
Knowledge Base Completion using Web-Based Question Answering and Multimodal Fusion
Over the past few years, large knowledge bases have been constructed to store massive amounts of knowledge.
DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related Queries
Our goal is to provide a benchmark dataset for multi-modal QA systems, and to open up new avenues of research in improving question answering over EHR structured data by using context from unstructured clinical data.
LIDER: An Efficient High-dimensional Learned Index for Large-scale Dense Passage Retrieval
As the basic unit of LIDER to index and search data, a core model includes an adapted recursive model index (RMI) and a dimension reduction component which consists of an extended SortingKeys-LSH (SK-LSH) and a key re-scaling module.
GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation
Recent improvements in KG-to-text generation are due to additional auxiliary pre-training tasks designed to give the fine-tune task a boost in performance.
EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text Generation
We also evaluate two types of baseline on EventNarrative: a graph-to-text specific model and two state-of-the-art language models, which previous work has shown to be adaptable to the knowledge graph-to-text domain.
More Than Reading Comprehension: A Survey on Datasets and Metrics of Textual Question Answering
Textual Question Answering (QA) aims to provide precise answers to user's questions in natural language using unstructured data.
ChronoR: Rotation Based Temporal Knowledge Graph Embedding
In particular, the task of temporal link prediction.
TutorialVQA: Question Answering Dataset for Tutorial Videos
The results indicate that the task is challenging and call for the investigation of new algorithms.
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs
Despite the importance of inductive link prediction, most previous works focused on transductive link prediction and cannot manage previously unseen entities.
Ranked #12 on
Link Prediction
on WN18RR
Inductive knowledge graph completion
Inductive Link Prediction
+1
Measuring Impact of Climate Change on Tree Species: analysis of JSDM on FIA data
In this study tree species interaction and the response to climate in different ecological environments is observed by applying a joint species distribution model to different ecological domains in the United States.
Populations and Evolution
Hotel2vec: Learning Attribute-Aware Hotel Embeddings with Self-Supervision
We propose a neural network architecture for learning vector representations of hotels.
Mining Rules Incrementally over Large Knowledge Bases
To the best of our knowledge, our incremental rule mining system is the first that handles updates to web-scale knowledge bases.
