  This work is based on the submission to the competition Hindi Constraint
conducted by AAAI@2021 for detection of hostile posts in Hindi on social media
platforms. Here, a model is presented for detection and classification of
hostile posts and further classify into fake, offensive, hate and defamation
using Relational Graph Convolutional Networks. Unlike other existing work, our
approach is focused on using semantic meaning along with contextutal
information for better classification. The results from AAAI@2021 indicates
that the proposed model is performing at par with Google's XLM-RoBERTa on the
given dataset. Our best submission with RGCN achieves an F1 score of 0.97 (7th
Rank) on coarse-grained evaluation and achieved best performance on identifying
fake posts. Among all submissions to the challenge, our classification system
with XLM-Roberta secured 2nd rank on fine-grained classification.
