research
∙
08/29/2023
Exploring the Limits of Historical Information for Temporal Knowledge Graph Extrapolation
Temporal knowledge graphs, representing the dynamic relationships and in...
share
research
∙
08/16/2023
Graph Out-of-Distribution Generalization with Controllable Data Augmentation
Graph Neural Network (GNN) has demonstrated extraordinary performance in...
research
∙
06/08/2023
Learning A Foundation Language Model for Geoscience Knowledge Understanding and Utilization
Large language models (LLMs)have achieved great success in general domai...
research
∙
06/04/2023
Exploring and Verbalizing Academic Ideas by Concept Co-occurrence
Researchers usually come up with new ideas only after thoroughly compreh...
research
∙
05/21/2023
Towards Tracing Code Provenance with Code Watermarking
Recent advances in large language models have raised wide concern in gen...
research
∙
05/18/2023
Prediction with Incomplete Data under Agnostic Mask Distribution Shift
Data with missing values is ubiquitous in many applications. Recent year...
research
∙
04/14/2023
Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph
The pandemic of COVID-19 has inspired extensive works across different r...
research
∙
04/02/2023
PK-Chat: Pointer Network Guided Knowledge Driven Generative Dialogue Model
In the research of end-to-end dialogue systems, using real-world knowled...
research
∙
02/19/2023
Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset
Real-world data usually exhibits a long-tailed distribution,with a few f...
research
∙
02/03/2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing
Most graph neural networks follow the message passing mechanism. However...
research
∙
09/27/2022
IdeaReader: A Machine Reading System for Understanding the Idea Flow of Scientific Publications
Understanding the origin and influence of the publication's idea is crit...
research
∙
09/04/2022
Disentangled Graph Contrastive Learning for Review-based Recommendation
User review data is helpful in alleviating the data sparsity problem in ...
research
∙
05/14/2022
RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL
Relational structures such as schema linking and schema encoding have be...
research
∙
04/28/2022
FuncPipe: A Pipelined Serverless Framework for Fast and Cost-efficient Training of Deep Learning Models
Training deep learning (DL) models has become a norm. With the emergence...
research
∙
08/07/2021
Scientific X-ray
The rapid development of modern science and technology has spawned rich ...
research
∙
06/05/2021
Exploring the Disproportion Between Scientific Productivity and Knowledge Amount
The pursuit of knowledge is the permanent goal of human beings. Scientif...
research
∙
02/19/2021
On the Similarity between von Neumann Graph Entropy and Structural Information: Interpretation, Computation, and Applications
The von Neumann graph entropy is a measure of graph complexity based on ...
research
∙
07/21/2017