133 citations · 300 across the 26 of their papers we have counts for
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cs.LG2023★ 6 cited
Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes
Quang Truong, Peter Chin
Graph Neural Networks (GNNs), despite achieving remarkable performance across different tasks, are theoretically bounded by the 1-Weisfeiler-Lehman test, resulting in limitations i…
cs.AI2023
Bridging Neural and Symbolic Representations with Transitional Dictionary Learning
Junyan Cheng, Peter Chin
This paper introduces a novel Transitional Dictionary Learning (TDL) framework that can implicitly learn symbolic knowledge, such as visual parts and relations, by reconstructing t…
cs.CL2023
Adversarial Transformer Language Models for Contextual Commonsense Inference
Pedro Colon-Hernandez, Henry Lieberman, Yida Xin +3
Contextualized or discourse aware commonsense inference is the task of generating coherent commonsense assertions (i.e., facts) from a given story, and a particular sentence from t…