Peter Bloem - RankMe

49 papers B 6Misc 1Journal 30Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Autoregressive Models for Knowledge Graph Generation. CoRR Thiviyan Thanapalasingam, Antonis Vozikis, Peter Bloem, Paul Groth
2026	J	`jnl`	IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation. J. Data-centric Mach. Learn. Res. Thiviyan Thanapalasingam, Emile van Krieken, Peter Bloem, Paul Groth
2026	J	`jnl`	Predicting integers from continuous parameters. CoRR Bas Maat, Peter Bloem
2025	J	`jnl`	GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks. Trans. Mach. Learn. Res. Taraneh Younesian, Daniel Daza, Emile van Krieken, Thiviyan Thanapalasingam, Peter Bloem
2025	J	`jnl`	LLM Probing with Contrastive Eigenproblems: Improving Understanding and Applicability of CCS. CoRR Stefan F. Schouten, Peter Bloem
2025	J	`jnl`	Universal pre-training by iterated random computation. CoRR Peter Bloem
2024	—	`conf`	Probing LLMs for Logical Reasoning. NeSy (1) Francesco Manigrasso, Stefan F. Schouten, Lia Morra, Peter Bloem
2024	Misc	`conf`	ReWise: A Relation-Wise Sampling Framework for Relational Graph Convolutional Networks. SEMANTICS Taraneh Younesian, Peter Bloem, Stefan Schlobach
2024	J	`jnl`	SUBMASSIVE: Resolving Subclass Cycles in Very Large Knowledge Graphs. CoRR Shuai Wang, Peter Bloem, Joe Raad, Frank van Harmelen
2024	J	`jnl`	Truth-value judgment in language models: belief directions are context sensitive. CoRR Stefan F. Schouten, Peter Bloem, Ilia Markov, Piek Vossen
2023	J	`jnl`	End-to-End Learning on Multimodal Knowledge Graphs. CoRR W. X. Wilcke, Peter Bloem, Victor de Boer, R. H. van t Veer
2023	J	`jnl`	GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks. CoRR Taraneh Younesian, Thiviyan Thanapalasingam, Emile van Krieken, Daniel Daza, Peter Bloem
2023	J	`jnl`	IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation. CoRR Thiviyan Thanapalasingam, Emile van Krieken, Peter Bloem, Paul Groth
2023	—	`conf`	Reasoning about Ambiguous Definite Descriptions. EMNLP (Findings) Stefan F. Schouten, Peter Bloem, Ilia Markov, Piek Vossen
2023	J	`jnl`	Reasoning about Ambiguous Definite Descriptions. CoRR Stefan F. Schouten, Peter Bloem, Ilia Markov, Piek Vossen
2023	B	`conf`	Refining Large Integrated Identity Graphs Using the Unique Name Assumption. ESWC Shuai Wang, Joe Raad, Peter Bloem, Frank van Harmelen
2022	—	`conf`	Probing the representations of named entities in Transformer-based Language Models. BlackboxNLP@EMNLP Stefan F. Schouten, Peter Bloem, Piek Vossen
2022	J	`jnl`	Relational graph convolutional networks: a closer look. PeerJ Comput. Sci. Thiviyan Thanapalasingam, Lucas van Berkel, Peter Bloem, Paul Groth
2022	J	`jnl`	Robin's Viewer: Using deep-learning predictions to assist EEG annotation. Frontiers Neuroinformatics Robin Weiler, Marina Diachenko, Erika L. Juarez-Martinez, Arthur Ervin Avramiea, Peter Bloem, Klaus Linkenkaer-Hansen
2022	—	`conf`	What does it mean when your URIs are redirected? Examining identity and redirection in the LOD cloud. MEPDaW@ISWC Idries Nasim, Shuai Wang, Joe Raad, Peter Bloem, Frank van Harmelen
2021	J	`jnl`	Finding Motifs in Knowledge Graphs using Compression. CoRR Peter Bloem
2021	B	`conf`	Refining Transitive and Pseudo-Transitive Relations at Web Scale. ESWC Shuai Wang, Joe Raad, Peter Bloem, Frank van Harmelen
2021	J	`jnl`	Relational Graph Convolutional Networks: A Closer Look. CoRR Thiviyan Thanapalasingam, Lucas van Berkel, Peter Bloem, Paul Groth
2021	B	`conf`	kgbench: A Collection of Knowledge Graph Datasets for Evaluating Relational and Multimodal Machine Learning. ESWC Peter Bloem, Xander Wilcke, Lucas van Berkel, Victor de Boer
2020	J	`jnl`	A Hybrid 3DCNN and 3DC-LSTM based model for 4D Spatio-temporal fMRI data: An ABIDE Autism Classification study. CoRR Ahmed El Gazzar, Mirjam Quaak, Leonardo Cerliani, Peter Bloem, Guido van Wingen, Rajat Mani Thomas
2020	J	`jnl`	End-to-End Entity Classification on Multimodal Knowledge Graphs. CoRR W. X. Wilcke, Peter Bloem, Victor de Boer, R. H. van t Veer, F. A. H. van Harmelen
2020	—	`conf`	Evaluating the Robustness of Question-Answering Models to Paraphrased Questions. BNAIC/BENELEARN (Selected Papers) Paulo Alting von Geusau, Peter Bloem
2020	J	`jnl`	Large-scale network motif analysis using compression. Data Min. Knowl. Discov. Peter Bloem, Steven de Rooij
2020	J	`jnl`	Uncertainty Intervals for Graph-based Spatio-Temporal Traffic Prediction. CoRR Tijs Maas, Peter Bloem
2019	—	`conf`	A Hybrid 3DCNN and 3DC-LSTM Based Model for 4D Spatio-Temporal fMRI Data: An ABIDE Autism Classification Study. OR/MLCN@MICCAI Ahmed El Gazzar, Mirjam Quaak, Leonardo Cerliani, Peter Bloem, Guido van Wingen, Rajat Mani Thomas
2019	J	`jnl`	End-to-End Learning from Complex Multigraphs with Latent Graph Convolutional Networks. CoRR Floris Hermsen, Peter Bloem, Fabian Jansen, Wolf Vos
2019	—	`conf`	Exploiting Temporality for Semi-Supervised Video Segmentation. ICCV Workshops Radu Sibechi, Olaf Booij, Nora Baka, Peter Bloem
2019	J	`jnl`	Exploiting Temporality for Semi-Supervised Video Segmentation. CoRR Radu Sibechi, Olaf Booij, Nora Baka, Peter Bloem
2018	J	`jnl`	A tutorial on MDL hypothesis testing for graph analysis. CoRR Peter Bloem, Steven de Rooij
2018	J	`jnl`	Deep Learning for Classification Tasks on Geospatial Vector Polygons. CoRR Rein van 't Veer, Peter Bloem, Erwin Folmer
2018	J	`jnl`	Learning sparse transformations through backpropagation. CoRR Peter Bloem
2018	B	`conf`	Modeling Relational Data with Graph Convolutional Networks. ESWC Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling
2018	J	`jnl`	Three Tools for Practical Differential Privacy. CoRR Koen Lennart van der Veen, Ruben Seggers, Peter Bloem, Giorgio Patrini
2017	J	`jnl`	An Expectation-Maximization Algorithm for the Fractal Inverse Problem. CoRR Peter Bloem, Steven de Rooij
2017	J	`jnl`	Large-Scale Network Motif Learning with Compression. CoRR Peter Bloem, Steven de Rooij
2017	J	`jnl`	Modeling Relational Data with Graph Convolutional Networks. CoRR Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling
2017	—	`conf`	The MIDI Linked Data Cloud. ISWC (2) Albert Meroño-Peñuela, Rinke Hoekstra, Aldo Gangemi, Peter Bloem, Reinier de Valk, Bas Stringer, Berit Janssen, Victor de Boer, Alo Allik, Stefan Schlobach, Kevin R. Page
2017	J	`jnl`	The knowledge graph as the default data model for learning on heterogeneous knowledge. Data Sci. Xander Wilcke, Peter Bloem, Victor de Boer
2016	—	`conf`	Are Names Meaningful? Quantifying Social Meaning on the Semantic Web. ISWC (1) Steven de Rooij, Wouter Beek, Peter Bloem, Frank van Harmelen, Stefan Schlobach
2015	B	`conf`	Two Problems for Sophistication. ALT Peter Bloem, Steven de Rooij, Pieter Adriaans
2014	B	`conf`	A Safe Approximation for Kolmogorov Complexity. ALT Peter Bloem, Francisco Mota, Steven de Rooij, Luis Antunes, Pieter Adriaans
2014	—	`conf`	Generating Scientific Documentation for Computational Experiments Using Provenance. IPAW Adianto Wibisono, Peter Bloem, Gerben Klaas Dirk de Vries, Paul Groth, Adam Belloum, Marian Bubak
2014	—	`conf`	Machine Learning on Linked Data, a Position Paper. LD4KD Peter Bloem, Gerben de Vries
2014	—	`conf`	Simplifying RDF Data for Graph-Based Machine Learning. KNOW@LOD Peter Bloem, Adianto Wibisono, Gerben de Vries