Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions

.- 2nd AI in Drug Discovery (AIDD) Workshop. .- Early-stage Discovery in the Era of Hard-to-Drug Targets and Giga-scale Chemical Spaces. .- Comparative Analysis of Chemical Structure String Representations for Neural Machine Translation. .- ADMETrix: ADMET-Driven De Novo Molecular Generation. .- Dimension-Augmented Anisotropy in Graph Neural Di!usion. .- Uni-Mol Docking V2: Towards Realistic and Accurate Binding Pose Prediction. .- MolEncoder: Improved Masked Language Modeling for Molecules. .- Consensus Prediction of Chemical Reactions with OCHEM-R Platform. .- Special Session: Neural Networks for Graphs and Beyond. .- HeNCler: Node Clustering in Heterophilous Graphs via Learned Asymmetric Similarity. .- Visualisation and Analysis of the Loss Landscape in Graph Neural Networks. .- Preface: Special Session: Neurorobotics. .- Pointing-Guided Target Estimation via Transformer-Based Attention. .- Keypoint-based Di!usion for Robotic Motion Planning on the NICOL Robot. .- Real-Time Syllable Recognition in LIBRAS Using Deep Learning for Human-Robot Interaction. .- Generating and Customizing Robotic Arm Trajectories using Neural Networks. .- Robotic Calibration Based of Haptic Feedback Improves Sim-to-Real Transfer. .- Towards Bio-Inspired Robotic Trajectory Planning via Self-Supervised RNN. .- 3rd International Workshop on Reservoir Computing. .- Impact of Plasticity-Based Reservoir Adaptation on Spectral Radius and Performance of ESNs. .- Benchmarking Nonlinear Readouts in Linear Reservoir Networks. .- Investigating Time-Scales in Deep Echo State Networks for Natural Language Pro-cessing. .- A Spectral Interpretation of Redundancy in a Graph Reservoir. .- Shaping Attractor Landscapes in Boolean Liquid State Machines via SDP and Global Plasticity.