Neural networks drive the success of natural language processing. A
fund...
Emergent communication protocols among humans and artificial neural netw...
Graph neural networks have triggered a resurgence of graph-based text
cl...
Large-scale graph data in the real-world are often dynamic rather than
s...
Large-scale pretrained language models (PreLMs) are revolutionizing natu...
Graph neural networks have triggered a resurgence of graph-based text
cl...
We address the problem of recommending relevant items to a user in order...
Current graph neural networks (GNNs) are promising, especially when the
...
We present multi-modal adversarial autoencoders for recommendation and
e...
Large-scale graph data in real-world applications is often not static bu...
Continuous Bag of Words (CBOW) is a powerful text embedding method. Due ...
For (semi-)automated subject indexing systems in digital libraries, it i...
A significant part of the largest Knowledge Graph today, the Linked Open...