dm2-nd Goto Github PK
Name: DM2 Lab @ ND
Type: Organization
Bio: Data Mining towards Decision Making Lab at University of Notre Dame
Location: Notre Dame, IN
Name: DM2 Lab @ ND
Type: Organization
Bio: Data Mining towards Decision Making Lab at University of Notre Dame
Location: Notre Dame, IN
Author: Tong Zhao ([email protected]). IEEE BigData'18. Actionable graph anomaly detection.
Code repo for EMNLP 2023 paper "Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models"
AutoPhrase: Automated Phrase Mining from Massive Text Corpora
Author: Daheng Wang ([email protected]). KDD'20. Modeling temporal graphs.
Author: Meng Jiang ([email protected]). KDD'14 Best Paper Finalist/TKDD'16. Suspicious behavior detection. Synchronized behaviors.
Author: Meng Jiang ([email protected]). KDD'16. Event detection and summary.
Author: Tong Zhao ([email protected]). ICML 2022. Learning from Counterfactual Links for Link Prediction
In preparation.
Author: Daheng Wang ([email protected]). DLG-KDD’20. Dynamic graphs representation learning.
Author: Meng Jiang ([email protected]). ICDM'15/TKDE'16. Suspicious behavior detection. Multi-dimensional data analysis.
Code for NeurIPS'23 "Data-Centric Learning from Unlabeled Graphs with Diffusion Model"
In preparation.
Code for EMNLP 2022 paper "A Unified Encoder-Decoder Framework with Entity Memory"
Author: Tong Zhao ([email protected]). CIKM'21: Action Sequence Augmentation for Early Graph-based Anomaly Detection
Author: Tong Zhao ([email protected]). TNNLS and CIKM'20. Graph anomaly detection.
Author: Tong Zhao ([email protected]). AAAI 2021. Data Augmentation for GNNs.
The source code used for self-supervised taxonomy expansion method GenTaxo, published in KDD 2021.
A curated list of graph data augmentation papers.
Source codes of Graph Rationalization with Environment-based Augmentations
Author: Xiangyu Dong ([email protected]) and Wenhao Yu ([email protected]). EMMLP 2021. News text generation.
Reading list for knowledge-enhanced text generation, with a survey
Author: Daheng Wang ([email protected]). KDD'18. Itemset representation learning.
Author: Meng Jiang ([email protected]). PAKDD'14/KAIS'16. Suspicious behavior detection. Graph anomaly detection. Graph mining.
Author: Meng Jiang ([email protected]). KDD'17. Information Extraction. Attribute Discovery. Meta Pattern Discovery from Massive Text Corpora.
Author: Tianwen Jiang ([email protected]). EMNLP'19. Knowledge graph construction.
Data and code for TACL 2023 paper "Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions"
Author: Wenhao Yu ([email protected]). ACL 2022. Commonsense Reasoning on Knowledge Graph for Text Generation
Author: Wenhao Yu ([email protected]). WWW'20. Intent detection.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.