Recent works in neural knowledge graph inference attempt to combine logi...
Although text-to-image diffusion models have made significant strides in...
We introduce EventNarrative, a knowledge graph-to-text dataset from publ...
Despite the success of Generative Adversarial Networks (GANs), their tra...
Despite the importance and abundance of temporal knowledge graphs, most ...
In this paper, we study the problem of learning probabilistic logical ru...
We propose a neural network architecture for learning vector representat...
Multiple web-scale Knowledge Bases, e.g., Freebase, YAGO, NELL, have bee...
The use of distances based on optimal transportation has recently shown
...
We are witnessing an increasing growth of autonomous platforms such as
s...