Try Cytoscape. Otherwise, you can extract known interactions yourself from public databases (I would use iRefIndex for this or the Arabidopsis database TAIR). In this case, you could increase coverage by transferring interactions from orthologs in other organisms. You may have to convert gene names to a suitable gene ID system.

I worked with a couple of the post-docs in this group to post a browser for their Arabidopsis gene regulatory networks. These networks are based off of footprint calls: DNase-seq data which show TF binding in gene promoters make the TF gene a "regulator" of the promoter's gene.

Netwalker (https://netwalkersuite.org/) can take your gene names and build interaction networks for you based on multiple curated interaction data sets. It will give you a network and you can play with the outlay, group genes, analyze pathway enrichment. Just load your files select the gene names column in click on rownames and then on Plot Network. Hope that helps.