no code implementations • 27 Oct 2022 • Susheel Suresh, Danny Godbout, Arko Mukherjee, Mayank Shrivastava, Jennifer Neville, Pan Li
1. 7% gains compared to individual client specific self-supervised training and (2) we construct and introduce a new cross-silo dataset called Amazon Co-purchase Networks that have both the characteristics of the motivated problem setting.
no code implementations • 24 Jul 2022 • Prasita Mukherjee, Haoteng Yin, Susheel Suresh, Tiark Rompf
Model Checking is widely applied in verifying the correctness of complex and concurrent systems against a specification.
1 code implementation • 11 Jun 2021 • Susheel Suresh, Vinith Budde, Jennifer Neville, Pan Li, Jianzhu Ma
We find that the prediction performance of a wide range of GNN models is highly correlated with the node level assortativity.
Graph Learning Node Classification on Non-Homophilic (Heterophilic) Graphs
1 code implementation • NeurIPS 2021 • Susheel Suresh, Pan Li, Cong Hao, Jennifer Neville
Self-supervised learning of graph neural networks (GNN) is in great need because of the widespread label scarcity issue in real-world graph/network data.
no code implementations • 22 Sep 2020 • Susheel Suresh, Jennifer Neville
Our method uses a cross feedback paradigm wherein, an embedding model is used to guide the search of a rule mining system to mine rules and infer new facts.