Julian Busch - RankMe

14 papers A 1B 2Journal 6Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Geometry-aware PINNs for Turbulent Flow Prediction. CoRR Shinjan Ghosh, Julian Busch, Georgia Olympia Brikis, Biswadip Dey
2023	—	`conf`	DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification. ECML/PKDD (1) Sandra Gilhuber, Julian Busch, Daniel Rotthues, Christian M. M. Frey, Thomas Seidl
2023	J	`jnl`	DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification. CoRR Sandra Gilhuber, Julian Busch, Daniel Rotthues, Christian M. M. Frey, Thomas Seidl
2021	—	`conf`	Implicit Hough Transform Neural Networks for Subspace Clustering. ICDM (Workshops) Julian Busch, Maximilian Hünemörder, Janis Held, Peer Kröger, Thomas Seidl
2021	B	`conf`	NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification. SSDBM Julian Busch, Anton Kocheturov, Volker Tresp, Thomas Seidl
2021	J	`jnl`	NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification. CoRR Julian Busch, Anton Kocheturov, Volker Tresp, Thomas Seidl
2021	—	`—`	Representation learning on complex data. Julian Busch
2020	—	`conf`	Ada-LLD: Adaptive Node Similarity Using Multi-Scale Local Label Distributions. WI/IAT Evgeniy Faerman, Felix Borutta, Julian Busch, Matthias Schubert
2020	—	`conf`	Grace - Limiting the Number of Grid Cells for Clustering High-Dimensional Data. LWDA Anna Beer, Daniyal Kazempour, Julian Busch, Alexander Tekles, Thomas Seidl
2020	J	`jnl`	Learning Self-Expression Metrics for Scalable and Inductive Subspace Clustering. CoRR Julian Busch, Evgeniy Faerman, Matthias Schubert, Thomas Seidl
2020	A	`conf`	PushNet: Efficient and Adaptive Neural Message Passing. ECAI Julian Busch, Jiaxing Pi, Thomas Seidl
2020	J	`jnl`	PushNet: Efficient and Adaptive Neural Message Passing. CoRR Julian Busch, Jiaxing Pi, Thomas Seidl
2019	B	`conf`	Structural Graph Representations based on Multiscale Local Network Topologies. WI Felix Borutta, Julian Busch, Evgeniy Faerman, Adina Klink, Matthias Schubert
2018	J	`jnl`	Semi-Supervised Learning on Graphs Based on Local Label Distributions. CoRR Evgheniy Faerman, Felix Borutta, Julian Busch, Matthias Schubert