59 citations · 64 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 59 cited
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
Derek Lim, Felix Hohne, Xiuyu Li +4
Many widely used datasets for graph machine learning tasks have generally been homophilous, where nodes with similar labels connect to each other. Recently, new Graph Neural Networ…
cs.SI2021★ 5 cited
Edge Proposal Sets for Link Prediction
Abhay Singh, Qian Huang, Sijia Linda Huang +4
Graphs are a common model for complex relational data such as social networks and protein interactions, and such data can evolve over time (e.g., new friendships) and be noisy (e.g…
cs.OS2020
DEAP Cache: Deep Eviction Admission and Prefetching for Cache
Ayush Mangal, Jitesh Jain, Keerat Kaur Guliani +1
Recent approaches for learning policies to improve caching, target just one out of the prefetching, admission and eviction processes. In contrast, we propose an end to end pipeline…