Systems and methods for a graphical user interface with intelligent network expansion

A system for displaying associations between nodes, the system comprising:

• a memory storing instructions;
• and
• a processor operatively connected to the memory and configured to execute the instructions to perform operations including:
• receiving a node data set comprising a plurality of nodes and a plurality of edges, wherein each edge comprises data indicating a source node address, a target node address, and an edge weight;
• generating, using a trained machine learning model, a risk value, wherein the trained machine learning model is trained based on (i) first data that includes information regarding one or more prior nodes and one or more prior edges as test data;
• and (ii) second data that includes prior risk values corresponding to the one or more prior nodes, to learn relationships between the first data and the second data;
• generating graphical depictions of the plurality of nodes and the plurality of edges;
• and
• displaying via a graphical user interface (GUI), one or more of:
• the graphical depictions of the plurality of nodes and the plurality of edges;
• the edge weight for each edge of the plurality of edges;
• or
• the risk values associated with one or more nodes of the node data set.

A computer-implemented method for displaying associations between nodes, the computer-implemented method comprising:

• receiving, by one or more processors, a node data set comprising a plurality of nodes and a plurality of edges;
• generating, using a trained machine learning model, a risk value, wherein the trained machine learning model is trained based on (i) first data that includes information regarding one or more prior nodes and one or more prior edges as test data;
• and (ii) second data that includes prior risk values corresponding to the one or more prior nodes, to learn relationships between the first data and the second data;
• generating, by the one or more processors, graphical depictions of the plurality of nodes, the plurality of edges, and the risk value associated with one or more of the plurality of nodes;
• displaying, by the one or more processors, via a graphical user interface (GUI), one or more of:
• the graphical depictions of the plurality of nodes and the plurality of edges;
• or
• an edge weight associated with each edge of the plurality of edges;
• and
• after displaying one or more of the graphical depictions of the plurality of nodes and the plurality of edges or the edge weight for each edge of the plurality of edges, further displaying, via the GUI, a pop-up window, wherein the pop-up window comprises one or more of:
• a minimum dilution input element;
• a maximum number of hops input element;
• or
• a minimum transfer amount input element.