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Found 5 papers, 0 papers with code
From Scattered Sources to Comprehensive Technology Landscape: A Recommendation-based Retrieval Approach
This is a two-task setup involving (i) technology classification of entities extracted from company corpus, and (ii) technology and company retrieval based on classified technologies.
On Node Features for Graph Neural Networks
Graph neural network (GNN) is a deep model for graph representation learning.
Unsupervised Learning of Node Embeddings by Detecting Communities
We provide empirical evidence that the communities learned by DMC are meaningful and that the node embeddings are competitive in different node classification benchmarks.
Parallel Computation of Graph Embeddings
We therefore propose a framework for parallel computation of a graph embedding using a cluster of compute nodes with resource constraints.
Multimodal Classification for Analysing Social Media
Although information on social media can be of different modalities such as texts, images, audio or videos, traditional approaches in classification usually leverage only one prominent modality.
