Search Results for author:
Found 3 papers, 0 papers with code
Graph Neural Re-Ranking via Corpus Graph
Re-ranking systems aim to reorder an initial list of documents to satisfy better the information needs associated with a user-provided query.
Link Prediction under Heterophily: A Physics-Inspired Graph Neural Network Approach
Physics-Inspired GNNs such as GRAFF provided a significant contribution to enhance node classification performance under heterophily, thanks to the adoption of physics biases in the message-passing.
GATSY: Graph Attention Network for Music Artist Similarity
The artist similarity quest has become a crucial subject in social and scientific contexts.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
