3 research outputs found
Models and Benchmarks for Representation Learning of Partially Observed Subgraphs
Subgraphs are rich substructures in graphs, and their nodes and edges can be
partially observed in real-world tasks. Under partial observation, existing
node- or subgraph-level message-passing produces suboptimal representations. In
this paper, we formulate a novel task of learning representations of partially
observed subgraphs. To solve this problem, we propose Partial Subgraph InfoMax
(PSI) framework and generalize existing InfoMax models, including DGI,
InfoGraph, MVGRL, and GraphCL, into our framework. These models maximize the
mutual information between the partial subgraph's summary and various
substructures from nodes to full subgraphs. In addition, we suggest a novel
two-stage model with -hop PSI, which reconstructs the representation of the
full subgraph and improves its expressiveness from different local-global
structures. Under training and evaluation protocols designed for this problem,
we conduct experiments on three real-world datasets and demonstrate that PSI
models outperform baselines.Comment: CIKM 2022 Short Paper (Camera-ready + Appendix
KOLD: Korean Offensive Language Dataset
Although large attention has been paid to the detection of hate speech, most
work has been done in English, failing to make it applicable to other
languages. To fill this gap, we present a Korean offensive language dataset
(KOLD), 40k comments labeled with offensiveness, target, and targeted group
information. We also collect two types of span, offensive and target span that
justifies the decision of the categorization within the text. Comparing the
distribution of targeted groups with the existing English dataset, we point out
the necessity of a hate speech dataset fitted to the language that best
reflects the culture. Trained with our dataset, we report the baseline
performance of the models built on top of large pretrained language models. We
also show that title information serves as context and is helpful to discern
the target of hatred, especially when they are omitted in the comment.Comment: 8 pages, 1 figur