In this work, we propose a new technique, called the Stereoscopic Filtering Technique (StFT), based on the stereoscopic highlighting approach. The proposed technique utilizes the depth cue to filter the large graph structures. One of the main abilities of our technique is that it isolates the specific graph portions to magnify them for a detailed exploration without affecting other visual cues such as color or shape. It offers a natural way to provide focus+context technique as it brings some parts of the graph closer to the viewer while keeping the rest in the background. We use this technique to query about specific topological features about the graph such as trees, clusters, complete graphs, or unknown graph structures. The preliminary results show the intuitiveness of the technique's approach. Moreover, they indicate the opportunities to handle the scalability issues in querying 2D representations for large graphs.