Each dataset is a PyG Data object and is stored in the processed subdir following a unified format with each attribute defined as follows:
edge_index: Graph connectivity in COO format with shape [2, num_edges] and type torch.long.text_nodes: List contains textual information for each node in the graph.text_edges: List contains textual information for each edge in the graph.node_labels: List contains text labels for each node in the graph. We use -1 to represent nodes without labelsThe embedding data is thrived from text_nodes and text_edges through PLM including:
We will provide more TEG datasets and PLM embedding in the futrue!
69 commits
Each dataset is a PyG Data object and is stored in the processed subdir following a unified format with each attribute defined as follows:
edge_index: Graph connectivity in COO format with shape [2, num_edges] and type torch.long.text_nodes: List contains textual information for each node in the graph.text_edges: List contains textual information for each edge in the graph.node_labels: List contains text labels for each node in the graph. We use -1 to represent nodes without labelsThe embedding data is thrived from text_nodes and text_edges through PLM including:
We will provide more TEG datasets and PLM embedding in the futrue!
69 commits