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cs.LG2025
SparseTransX: Efficient Training of Translation-Based Knowledge Graph Embeddings Using Sparse Matrix Operations
Md Saidul Hoque Anik, Ariful Azad
Knowledge graph (KG) learning offers a powerful framework for generating new knowledge and making inferences. Training KG embedding can take a significantly long time, especially f…
cs.LG2024
iSpLib: A Library for Accelerating Graph Neural Networks using Auto-tuned Sparse Operations
Md Saidul Hoque Anik, Pranav Badhe, Rohit Gampa +1
Core computations in Graph Neural Network (GNN) training and inference are often mapped to sparse matrix operations such as sparse-dense matrix multiplication (SpMM). These sparse…