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cs.LG2025
C-HDNet: Hyperdimensional Computing for Causal Effect Estimation from Observational Data Under Network Interference
Abhishek Dalvi, Neil Ashtekar, Vasant Honavar
We address the problem of estimating causal effects from observational data in the presence of network confounding, a setting where both treatment assignment and observed outcomes…
cs.LG2024
Hyperdimensional Representation Learning for Node Classification and Link Prediction
Abhishek Dalvi, Vasant Honavar
We introduce Hyperdimensional Graph Learner (HDGL), a novel method for node classification and link prediction in graphs. HDGL maps node features into a very high-dimensional space…