476 citations · 553 across the 11 of their papers we have counts for
6 papers · 1 filter
Graph Representation Ensemble Learning
Palash Goyal, Di Huang, Sujit Rokka Chhetri +3
Representation learning on graphs has been gaining attention due to its wide applicability in predicting missing links, and classifying and recommending nodes. Most embedding metho…
String Diagrams for Assembly Planning
Jade Master, Evan Patterson, Shahin Yousfi +1
Assembly planning is a difficult problem for companies. Many disciplines such as design, planning, scheduling, and manufacturing execution need to be carefully engineered and coord…
ArduCode: Predictive Framework for Automation Engineering
Arquimedes Canedo, Palash Goyal, Di Huang +2
Automation engineering is the task of integrating, via software, various sensors, actuators, and controls for automating a real-world process. Today, automation engineering is supp…
Benchmarks for Graph Embedding Evaluation
Palash Goyal, Di Huang, Ankita Goswami +3
Graph embedding is the task of representing nodes of a graph in a low-dimensional space and its applications for graph tasks have gained significant traction in academia and indust…
Tracking Temporal Evolution of Graphs using Non-Timestamped Data
Sujit Rokka Chhetri, Palash Goyal, Arquimedes Canedo
Datasets to study the temporal evolution of graphs are scarce. To encourage the research of novel dynamic graph learning algorithms we introduce YoutubeGraph-Dyn (available at http…
Pykg2vec: A Python Library for Knowledge Graph Embedding
Shih Yuan Yu, Sujit Rokka Chhetri, Arquimedes Canedo +2
Pykg2vec is an open-source Python library for learning the representations of the entities and relations in knowledge graphs. Pykg2vec's flexible and modular software architecture…