research
∙
05/17/2023
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation
Distributed training of GNNs enables learning on massive graphs (e.g., s...
share
research
∙
12/17/2021
Best of Both Worlds: A Hybrid Approach for Multi-Hop Explanation with Declarative Facts
Language-enabled AI systems can answer complex, multi-hop questions to h...
research
∙
12/02/2020
Interactive Teaching for Conversational AI
Current conversational AI systems aim to understand a set of pre-designe...
research
∙
11/21/2020