{"id":14483131,"url":"https://github.com/thisisbhavin/graphicalForest","last_synced_at":"2025-08-30T03:33:40.788Z","repository":{"id":213230494,"uuid":"245496359","full_name":"thisisbhavin/graphicalForest","owner":"thisisbhavin","description":"Using the adjacency matrix and random forest get the Name, Address, Items, Prices, Grand total from all kind of invoices.","archived":false,"fork":false,"pushed_at":"2020-03-08T03:47:45.000Z","size":71422,"stargazers_count":17,"open_issues_count":1,"forks_count":4,"subscribers_count":1,"default_branch":"master","last_synced_at":"2024-07-14T14:33:36.853Z","etag":null,"topics":["adjacency-matrix","graph","graph-convolution","graph-neural-networks","information-retrieval","invoice-parser","random-forest"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/thisisbhavin.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-03-06T19:02:32.000Z","updated_at":"2024-07-14T14:33:41.479Z","dependencies_parsed_at":null,"dependency_job_id":"c03163f0-27f8-40c4-ade3-aeac9dfa153d","html_url":"https://github.com/thisisbhavin/graphicalForest","commit_stats":null,"previous_names":["thisisbhavin/graphicalforest"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thisisbhavin%2FgraphicalForest","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thisisbhavin%2FgraphicalForest/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thisisbhavin%2FgraphicalForest/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thisisbhavin%2FgraphicalForest/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/thisisbhavin","download_url":"https://codeload.github.com/thisisbhavin/graphicalForest/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":217593012,"owners_count":16201561,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["adjacency-matrix","graph","graph-convolution","graph-neural-networks","information-retrieval","invoice-parser","random-forest"],"created_at":"2024-09-03T00:01:32.467Z","updated_at":"2024-09-03T00:04:58.624Z","avatar_url":"https://github.com/thisisbhavin.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"# Graph Convolution on Structured Documents\nThis repo contains code to convert Structured Documents to Graphs and implement a Graph Convolution Neural Network (incomplete) for Node Classification, each node being an entity in the document.\n\n## Code\nThe `grapher.py` file contains the code to convert a structured document to a graph. \u003cbr\u003e\nAn object map made using a Commercial OCR Tool is needed as the input which provides the bounding-box coordinates of each entity in the image along with it's recognized text. The script can then be used to generate an `object_tree.png` file and a \n`connections.csv` file. The script joins each object to it's nearest object to the right and underneath thus generating a graph. \n\n## References\n1. Riba, Dutta et al - Table Detection in Invoice Documents by Graph Neural Networks - [Link](https://priba.github.io/assets/publi/conf/2019_ICDAR_PRiba.pdf)\n2. Adam W. Harley, Alex Ufkes, and Konstantinos G. Derpanis - Department of Computer Science, Ryerson University, Toronto, Ontario - Evaluation of Deep Convolutional Nets for Document Image Classification and Retrieval - [Link](https://arxiv.org/abs/1502.07058)\n3. Victor Garcia, Joan Bruna - Few-Shot Learning with Graph Neural Networks - [Link](https://arxiv.org/abs/1711.04043) \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthisisbhavin%2FgraphicalForest","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fthisisbhavin%2FgraphicalForest","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthisisbhavin%2FgraphicalForest/lists"}