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I encountered two corner cases that result in incorrect behavior when reading graphs with self-loops or single-node graphs. These issues may affect downstream tasks that rely on accurate graph structure and attributes.
Self-Loop Weight Doubling: When reading a graph with a self-loop (an edge where src == dst), the weight of the self-loop is incorrectly doubled. For example, if the original edge weight is 1, the weight returns it as 2.
Incorrect n_edges Attribute for Single-Node Graph with Self-Loop: When reading a graph that contains only a single node with a self-loop, the n_edges attribute is incorrectly set to 0.
The text was updated successfully, but these errors were encountered:
I encountered two corner cases that result in incorrect behavior when reading graphs with self-loops or single-node graphs. These issues may affect downstream tasks that rely on accurate graph structure and attributes.
The text was updated successfully, but these errors were encountered: