Recent studies have proposed unified user modeling frameworks that lever...
Question Answering (QA) is a task that entails reasoning over natural
la...
Existing message passing neural networks for heterogeneous graphs rely o...
Transformer-based models have been widely used and achieved state-of-the...
Graph Neural Networks (GNNs) often suffer from weak-generalization due t...
A recent trend shows that a general class of models, e.g., BERT, GPT-3, ...
Building a shopping product collection has been primarily a human job. W...
GPT-3 shows remarkable in-context learning ability of large-scale langua...
Temporal set prediction is becoming increasingly important as many compa...
General-purpose representation learning through large-scale pre-training...
Recently, the interest of graph representation learning has been rapidly...
Tree-width and its linear variant path-width play a central role for the...
Given n subspaces of a finite-dimensional vector space over a fixed fini...
The maximum matching width is a graph width parameter that is defined on...