Graphs and more Complex structures for Learning and Reasoning
Workshop at AAAI 2021
Accepted papers
Classification of Complex Networks Using Structural Analysis of Random Graph Models (pdf), (video), (poster)
Authors: Ali Baran Tasdemir, Barkin Atasay and Lale Ozkahya
Authors: Hieu Le Trung, Yiqing Xu and Wee Sun Lee
Authors: Lokesh Kumar and Arun Rajkumar
Authors: Carolin Lawrence, Mathias Niepert and Timo Sztyler
Graph Signal Processing-Based Energy Modeling and Forecasting for Commercial Buildings (pdf), (video), (poster)
Authors: Yashodhan Reddy N, Naveen Kumar Thokala, Vishnu Brindavanam, Spoorthy Paresh and Girish Chandra M
Authors: Vijja Wichitwechkarn, Ben Day, Cristian Bodnar, Matthew Wales and Pietro Lió
Authors: Hyunsung Lee, Michaël Wang and Honguk Woo
Rank Refinement: An Algorithmic Framework with Applications to Diversity Aware Influence Maximization (pdf), (video), (poster)
Authors: Prateek Yadav and Arun Rajkumar
Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders (pdf), (video), (poster)
Authors: Bhushan Kotnis, Carolin Lawrence and Mathias Niepert
Authors: Yin-Cong Zhi, Yin Cheng Ng and Xiaowen Dong
Guiding Graph Embeddings using Path-Ranking Methods for Error Detection in noisy Knowledge Graphs (pdf), (video), (poster)
Authors: Konstantinos Bougiatiotis, Romanos Fasoulis, Fotis Aisopos, Anastasios Nentidis and Georgios Paliouras
Authors: Mihai Cucuringu, Apoorv Singh, Deborah Sulem and Hemant Tyagi
Authors: Agnieszka Dobrowolska, Antonio Vergari and Pasquale Minervini
Algorithms for Handling Uncertainty in Input Graphs (video)
Authors: Sugyani Mahapatra and Manikandan Narayanan
The flash ppt videos of accepted papers can also be found at this link on Youtube.