GitHub

Spatio-Temporal Graph Convolutional Networks:

We propose a novel deep learning framework, STGCN, to tackle time series prediction problem in traffic domain. Instead of applying regular convolutional and recurrent units, we formulate the problem ...
GitHub

Spatio-Temporal Graph Convolutional Networks:

Table 1: Performance comparison of different approaches on the dataset PeMSD7. Fig. 3: Speed prediction in the morning peak and evening rush hours of the dataset PeMSD7. Fig. 4: Time consumptions of ...
IEEE

Contrastive Graph Representations for Logical Formulas Embedding (Extended Abstract)

Abstract: Embedding symbolic logical formulas into a low-dimensional continuous space provides an effective way for the Neural-Symbolic system. However, current studies are all constrained by the ...
IEEE

A Heterogeneous Graph to Abstract Syntax Tree Framework for Text-to-SQL

Abstract: Text-to-SQL is the task of converting a natural language utterance plus the corresponding database schema into a SQL program. The inputs naturally form a heterogeneous graph while the output ...