Filip Cornell

According to our database, Filip Cornell authored at least 9 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Are We Really Measuring Progress? Transferring Insights from Evaluating Recommender Systems to Temporal Link Prediction.

Filip Cornell, Oleg Smirnov, Gabriela Zarzar Gandler, Lele Cao

CoRR, June, 2025

On the Power of Heuristics in Temporal Graphs.

Filip Cornell, Oleg Smirnov, Gabriela Zarzar Gandler, Lele Cao

CoRR, February, 2025

Expressivity of Representation Learning on Continuous-Time Dynamic Graphs: An Information-Flow Centric Review.

Sofiane Ennadir, Gabriela Zarzar Gandler, Filip Cornell, Lele Cao, Oleg Smirnov, Tianze Wang, Levente Zólyomi, Björn Brinne, Sahar Asadi

Trans. Mach. Learn. Res., 2025

Are We Wasting Time? A Fast, Accurate Performance Evaluation Framework for Knowledge Graph Link Predictors.

Filip Cornell, Yifei Jin, Jussi Karlgren, Sarunas Girdzijauskas

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2023

Unsupervised Ontology- and Taxonomy Construction Through Hyperbolic Relational Domains and Ranges.

Filip Cornell, Yifei Jin, Jussi Karlgren, Sarunas Girdzijauskas

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

2022

Challenging the Assumption of Structure-based embeddings in Few- and Zero-shot Knowledge Graph Completion.

Filip Cornell, Chenda Zhang, Jussi Karlgren, Sarunas Girdzijauskas

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Symbolic Hyperdimensional Vectors with Sparse Graph Convolutional Neural Networks.

Filip Cornell, Jussi Karlgren, Animesh, Sarunas Girdzijauskas

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation.

Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Tanya Goyal, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicholas Roberts, Juan Diego Rodriguez, Claude Roux, Paulo Henrique Santos Vasconcellos, Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib Shamsi, Xudong Shen, Yiwen Shi, Haoyue Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto Martinez, Aman Srivastava, KV Aditya Srivatsa, Tony Sun, Mukund Varma T., A. Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Zijie J. Wang, Gloria Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmanski, Tianbao Xie, Usama Yaseen, Michael A. Yee, Jing Zhang, Yue Zhang

CoRR, 2021

2020

Using topological autoencoders as a filtering function for global and local topology.

Filip Cornell

CoRR, 2020