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08/29/2023
Exploring the Limits of Historical Information for Temporal Knowledge Graph Extrapolation
Temporal knowledge graphs, representing the dynamic relationships and in...
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08/16/2023
Graph Out-of-Distribution Generalization with Controllable Data Augmentation
Graph Neural Network (GNN) has demonstrated extraordinary performance in...
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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...
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06/04/2023
Exploring and Verbalizing Academic Ideas by Concept Co-occurrence
Researchers usually come up with new ideas only after thoroughly compreh...
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04/14/2023
Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph
The pandemic of COVID-19 has inspired extensive works across different r...
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04/03/2023
FMGNN: Fused Manifold Graph Neural Network
Graph representation learning has been widely studied and demonstrated e...
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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...
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11/20/2022
Temporal Knowledge Graph Reasoning with Historical Contrastive Learning
Temporal knowledge graph, serving as an effective way to store and model...
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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...
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09/22/2022
INFINITY: A Simple Yet Effective Unsupervised Framework for Graph-Text Mutual Conversion
Graph-to-text (G2T) generation and text-to-graph (T2G) triple extraction...
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09/04/2022
Disentangled Graph Contrastive Learning for Review-based Recommendation
User review data is helpful in alleviating the data sparsity problem in ...
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05/27/2022
Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation
With the tremendous expansion of graphs data, node classification shows ...
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05/27/2022
Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer
Spatio-temporal graph learning is a key method for urban computing tasks...
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08/07/2021
Scientific X-ray
The rapid development of modern science and technology has spawned rich ...
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06/05/2021
Exploring the Disproportion Between Scientific Productivity and Knowledge Amount
The pursuit of knowledge is the permanent goal of human beings. Scientif...
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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 ...
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10/09/2020
High-Order Relation Construction and Mining for Graph Matching
Graph matching pairs corresponding nodes across two or more graphs. The ...
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10/03/2020
Neighborhood Matters: Influence Maximization in Social Networks with Limited Access
Influence maximization (IM) aims at maximizing the spread of influence b...
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05/30/2019
Information Source Detection with Limited Time Knowledge
This paper investigates the problem of utilizing network topology and pa...
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10/18/2017
