{"id":13408344,"url":"https://github.com/naganandy/graph-based-deep-learning-literature","last_synced_at":"2025-04-25T14:47:09.738Z","repository":{"id":37458315,"uuid":"112751115","full_name":"naganandy/graph-based-deep-learning-literature","owner":"naganandy","description":"links to conference publications in graph-based deep learning","archived":false,"fork":false,"pushed_at":"2025-04-22T13:55:52.000Z","size":14741,"stargazers_count":4906,"open_issues_count":1,"forks_count":778,"subscribers_count":249,"default_branch":"master","last_synced_at":"2025-04-22T14:51:30.918Z","etag":null,"topics":["conference-publications","deep-learning","graph","graph-convolutional-networks","graph-neural-networks","graph-representation-learning","neural-networks"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/naganandy.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","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":"2017-12-01T14:48:35.000Z","updated_at":"2025-04-22T13:55:56.000Z","dependencies_parsed_at":"2024-09-09T05:41:49.559Z","dependency_job_id":"6e6a6b4c-2473-41ea-93db-2c9d7c8ee536","html_url":"https://github.com/naganandy/graph-based-deep-learning-literature","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/naganandy%2Fgraph-based-deep-learning-literature","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/naganandy%2Fgraph-based-deep-learning-literature/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/naganandy%2Fgraph-based-deep-learning-literature/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/naganandy%2Fgraph-based-deep-learning-literature/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/naganandy","download_url":"https://codeload.github.com/naganandy/graph-based-deep-learning-literature/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250561349,"owners_count":21450407,"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":["conference-publications","deep-learning","graph","graph-convolutional-networks","graph-neural-networks","graph-representation-learning","neural-networks"],"created_at":"2024-07-30T20:00:52.292Z","updated_at":"2025-04-24T04:21:40.172Z","avatar_url":"https://github.com/naganandy.png","language":"Jupyter Notebook","funding_links":[],"categories":["Uncategorized","Table of Contents","Jupyter Notebook","其他_图神经网络GNN","Community resources","Awesome lists","Deep Learning","Core Machine Learning Research"],"sub_categories":["Uncategorized","网络服务_其他","Graph theory","Graph Learning and Knowledge Graphs"],"readme":"# Graph-based Deep Learning Literature\n\nThe repository primarily contains [links to conference publications](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/README.md#conferences) in graph-based deep learning.\n\nThe repository also contains links to:\n\n- [Related Workshops](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/workshops/README.md),\n- [Surveys / Literature Reviews / Books](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/surveys/README.md), \n- [Software / Libraries](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/software/README.md).\n \n \u003cbr\u003e \u003c/br\u003e\n\nPublications within each conference and year below are organised into topic-specific categories.\n\n\n\n* ### [Learning On Graphs Conference](https://logconference.org/) - [2024](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_log24/README.md) |  [2023](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2023/publications_log23/README.md) | [2022](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2022/publications_log22/README.md)\n\n- ## Machine Learning Conferences\n \n   * ### [NeurIPS](https://nips.cc/)  - [2024](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_neurips24/README.md) | [2023](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2023/publications_neurips23/README.md) | [2022](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2022/publications_neurips22/README.md) | [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2021/publications_neurips21/README.md) | [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2020/publications_neurips20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/publications_neurips19/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2018/publications_neurips18/README.md) | [2017](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/README.MD#neurips-2017) | [2016](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/README.MD#neurips-2016) | [2015](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/README.MD#neurips-2015)\n\n   * ### [ICML](https://icml.cc/) - [2024](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_icml24/README.md) | [2023](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2023/publications_icml23/README.md) | [2022](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2022/publications_icml22/README.md) | [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2021/publications_icml21/README.md) |  [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2020/publications_icml20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/publications_icml19/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2018/README.MD#icml-2018-jul) | [2017](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/README.MD#icml-2017) | [2016](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/README.MD#icml-2016)\n \n   * ### [ICLR](https://iclr.cc/) - [2025](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2025/publications_iclr25/README.md) | [2024](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_iclr24/README.md) | [2023](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2023/publications_iclr23/README.md) | [2022](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2022/publications_iclr22/README.md) | [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2021/publications_iclr21/README.md) | [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2020/publications_iclr20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/publications_iclr19/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2018/README.MD#iclr-2018-may) | [2017](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/README.MD#iclr-2017) | [2016](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/README.MD#iclr-2016) | [2014](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/README.MD#iclr-2014)\n\n\u003cbr\u003e \u003c/br\u003e\n   \n- ## Data Mining Conferences\n   * ### [KDD](https://kdd2025.kdd.org/) - [2024](https://github.com/naganandy/graph-based-deep-learning-literature/tree/master/conference-publications/folders/years/2024/publications_kdd24/README.md) | [2023](https://github.com/naganandy/graph-based-deep-learning-literature/tree/master/conference-publications/folders/years/2023/publications_kdd23/README.md) | [2022](https://github.com/naganandy/graph-based-deep-learning-literature/tree/master/conference-publications/folders/years/2022/publications_kdd22/README.md) | [2021](https://github.com/naganandy/graph-based-deep-learning-literature/tree/master/conference-publications/folders/years/2021/publications_kdd21/README.md) | [2020](https://github.com/naganandy/graph-based-deep-learning-literature/tree/master/conference-publications/folders/years/2020/publications_kdd20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/publications_kdd19/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2018/README.MD#kdd-2018-aug)\n   * ### [ICDM](https://icdm2024.org/) - [2024](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_icdm24/README.md) | [2023](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2023/publications_icdm23/README.md) | [2022](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2022/publications_icdm22/README.md) | [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2021/publications_icdm21/README.md) | [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2020/publications_icdm20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/README.MD#icdm-2019-nov) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2018/README.MD#icdm-2018-nov)\n   * ### [WSDM](https://www.wsdm-conference.org/2025/) - [2025](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2025/publications_wsdm25/README.md) | [2024](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_wsdm24/README.md) | [2023](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2023/publications_wsdm23/README.md) | [2022](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2022/publications_wsdm22/README.md) | [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2021/publications_wsdm21/README.md) | [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2020/README.MD#wsdm-2020-feb) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/README.MD#wsdm-2019-jan) \n\n\u003cbr\u003e \u003c/br\u003e\n\n- ## Artificial Intelligence Conferences\n   * ### [TheWebConf](https://www2025.thewebconf.org/) - [2024](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_webconf24/README.md)  | [2023](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2023/publications_webconf23/README.md)  |  [2022](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2022/publications_webconf22/README.md)  | [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2021/publications_webconf21/README.md) | [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2020/publications_www20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/README.MD#www-2019-may) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2018/README.MD#www-2018-april)\n   * ### [AAAI](https://aaai.org/conference/aaai/aaai-25/) - [2024](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_aaai24/README.md) |  [2023](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2023/publications_aaai23/README.md) | [2022](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2022/publications_aaai22/README.md) | [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2021/publications_aaai21/README.md) | [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2020/publications_aaai20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/publications_aaai19/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2018/README.MD#aaai-2018-feb) | [2017](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/README.MD#aaai-2017)\n   * ### [IJCAI](https://ijcai24.org/) - [2024](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/README.md) | [2023](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2023/publications_ijcai23/README.md) | [2022](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2022/publications_ijcai22/README.md) | [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2021/publications_ijcai21/README.md) |  [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2020/publications_ijcai20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/publications_ijcai19/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2018/README.MD#ijcai-2018-jul) | [2017](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/README.MD#ijcai-2017)\n\n\u003cbr\u003e \u003c/br\u003e\n\n- ## Computer Vision Conferences\n   * ### [CVPR](https://cvpr.thecvf.com/) - [2024](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_cvpr24/README.md) | [2023](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2023/publications_cvpr23/README.md) | [2022](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2022/publications_cvpr22/README.md) | [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2021/publications_cvpr21/README.md) | [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2020/publications_cvpr20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/publications_cvpr19/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2018/README.MD#cvpr-2018-jun) | [2017](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/README.MD#cvpr-2017)\n   * ### [ICCV](http://iccv2023.thecvf.com/home) - [2023](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2023/publications_iccv23/README.md) | [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2021/publications_iccv21/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/publications_iccv19/README.md) | [2017](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/README.MD#iccv-2017)\n   * ### [ECCV](https://eccv2024.ecva.net/) - [2024](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_eccv24/README.md) | [2022](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2022/publications_eccv22/README.md) | [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2020/publications_eccv20/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2018/README.MD#eccv-2018-sep)\n\n\u003cbr\u003e \u003c/br\u003e\n\n- ## Computational Linguistics Conferences\n   * ### [ACL](https://2024.aclweb.org/) - [2024](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_acl24/README.md) | [2023](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2023/publications_acl23/README.md) | [2022](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2022/publications_acl22/README.md) | [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2021/publications_acl21/README.md) | [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2020/publications_acl20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/publications_acl19/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2018/README.MD#acl-2018-jul)\n    * ### [EMNLP](https://2024.emnlp.org/) - [2024](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_emnlp24/README.md) | [2023](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2023/publications_emnlp23/README.md) | [2022](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2022/publications_emnlp22/README.md) | [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2021/publications_emnlp21/README.md) | [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2020/publications_emnlp20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/publications_emnlp19/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2018/README.MD#emnlp-2018-nov) | [2017](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/README.MD#emnlp-2017)\n  * ### [NAACL](https://2025.naacl.org/) - [2024](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_naacl24/README.md) | [2022](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2022/publications_naacl22/README.md) | [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2021/publications_naacl21/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/README.MD#naacl-2019-jun) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2018/README.MD#naacl-2018-jun)\n\n\u003cbr\u003e \u003c/br\u003e\n\u003cbr\u003e \u003c/br\u003e\n\u003cbr\u003e \u003c/br\u003e\n\n# Top 10 Most Cited Publications (on Graph Neural Networks)\n- [Semi-Supervised Classification with Graph Convolutional Networks](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/gcn_iclr17/README.md)\n- [Graph Attention Networks](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2018/publications_conf18/gan_iclr18/README.md)\n- [Inductive Representation Learning on Large Graphs](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/graphsage_neurips17/README.md)\n- [Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/chebnet_neurips16/README.md)\n- [The Graph Neural Network Model](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/gnn_tnn09/README.md)\n- [A Comprehensive Survey on Graph Neural Networks](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/surveys/gnnsurvey_tnnls21/README.md)\n- [Neural Message Passing for Quantum Chemistry](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/mpnn_icml17/README.md)\n- [Spectral Networks and Locally Connected Networks on Graphs](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/graphcnn_iclr14/README.md)\n- [How Powerful are Graph Neural Networks?](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/publications_iclr19/gin_iclr19/README.md)\n- [Convolutional Networks on Graphs for Learning Molecular Fingerprints](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/graphcnn_neurips15/README.md)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnaganandy%2Fgraph-based-deep-learning-literature","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnaganandy%2Fgraph-based-deep-learning-literature","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnaganandy%2Fgraph-based-deep-learning-literature/lists"}