Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs

no code implementations • 4 Jul 2023 • Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang

We propose Concept2Box, a novel approach that jointly embeds the two views of a KG using dual geometric representations.

Knowledge Graph Embeddings Knowledge Graphs

Learning from Counterfactual Links for Link Prediction

1 code implementation • NeurIPS 2021 • Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang

However, the causal relationship between the two variables was largely ignored for learning to predict links on a graph.

Counterfactual Inference Data Augmentation +3

TCN: Table Convolutional Network for Web Table Interpretation

1 code implementation • 17 Feb 2021 • Daheng Wang, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Xin Luna Dong, Meng Jiang

Existing work linearize table cells and heavily rely on modifying deep language models such as BERT which only captures related cells information in the same table.

Representation Learning Table annotation +1

Learning Attribute-Structure Co-Evolutions in Dynamic Graphs

1 code implementation • 25 Jul 2020 • Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang

In this work, we present a novel framework called CoEvoGNN for modeling dynamic attributed graph sequence.

Graph structure learning Link Prediction

Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors

1 code implementation • 11 Jun 2020 • Daheng Wang, Meng Jiang, Munira Syed, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla

The user embeddings preserve spatial patterns and temporal patterns of a variety of periodicity (e. g., hourly, weekly, and weekday patterns).