Activity Prediction

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

3 subtasks in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 33 papers with code (106 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors
  17 Nov 2022 3 repositories listed
  The main streams of human activity recognition (HAR) algorithms are developed based on RGB cameras which are suffered from illumination, fast motion, privacy-preserving, and large energy consumption.
• Molecular De Novo Design through Deep Reinforcement Learning
  25 Apr 2017 3 repositories listed
  This work introduces a method to tune a sequence-based generative model for molecular de novo design that through augmented episodic likelihood can learn to generate structures with certain specified desirable…
• Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning
  1 Aug 2020 2 repositories listed Syntology ran 1 of 10 samples · 9 unverified
  The derived uncertainty-based ranking loss is found to significantly boost model performance by improving the quality of relational features.
• Peeking into the Future: Predicting Future Person Activities and Locations in Videos
  11 Feb 2019 2 repositories listed Syntology ran 2 of 27 samples · 25 unverified · 22 pointer-only (licence)
  To facilitate the training, the network is learned with an auxiliary task of predicting future location in which the activity will happen.
• RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes
  3 Jul 2025 1 repository listed
  Next activity prediction represents a fundamental challenge for optimizing business processes in service-oriented architectures such as microservices environments, distributed enterprise systems, and cloud-native…
• NovelSeek: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification
  22 May 2025 1 repository listed
  Artificial Intelligence (AI) is accelerating the transformation of scientific research paradigms, not only enhancing research efficiency but also driving innovation.
• Persistent Homology-induced Graph Ensembles for Time Series Regressions
  18 Mar 2025 1 repository listed
  The effectiveness of Spatio-temporal Graph Neural Networks (STGNNs) in time-series applications is often limited by their dependence on fixed, hand-crafted input graph structures.
• ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish
  4 Mar 2025 1 repository listed Syntology ran 0 of 5 samples · 5 unverified
  Data-driven benchmarks have led to significant progress in key scientific modeling domains including weather and structural biology.
• MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning
  15 Oct 2024 1 repository listed Syntology ran 3 of 9 samples · 6 unverified · 3 pointer-only (licence)
  More accurate methods for activity prediction exist, such as molecular dynamics based binding free energy calculations, but they are too computationally expensive to use in a generative model.
• Attention Please: What Transformer Models Really Learn for Process Prediction
  12 Aug 2024 1 repository listed
  Predictive process monitoring aims to support the execution of a process during runtime with various predictions about the further evolution of a process instance.
• Evaluating the Ability of LLMs to Solve Semantics-Aware Process Mining Tasks
  2 Jul 2024 1 repository listed
  This latter property suggests that LLMs could also be used to tackle process mining tasks that benefit from an understanding of process behavior.
• D-GRIL: End-to-End Topological Learning with 2-parameter Persistence
  11 Jun 2024 1 repository listed
  End-to-end topological learning using 1-parameter persistence is well-known.
• DeepMol: An Automated Machine and Deep Learning Framework for Computational Chemistr
  1 Jun 2024 1 repository listed
  The domain of computational chemistry has experienced a significant evolution due to the introduction of Machine Learning (ML) technologies.
• ADCNet: a unified framework for predicting the activity of antibody-drug conjugates
  17 Jan 2024 1 repository listed
  Antibody-drug conjugate (ADC) has revolutionized the field of cancer treatment in the era of precision medicine due to their ability to precisely target cancer cells and release highly effective drug.
• Knowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity Prediction
  14 Dec 2023 1 repository listed
  Predictive Process Monitoring (PPM) aims at leveraging historic process execution data to predict how ongoing executions will continue up to their completion.
• Benchmarking Sequential Visual Input Reasoning and Prediction in Multimodal Large Language Models
  20 Oct 2023 1 repository listed
  Multimodal large language models (MLLMs) have shown great potential in perception and interpretation tasks, but their capabilities in predictive reasoning remain under-explored.
• Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images
  31 Aug 2023 1 repository listed
  We propose a two-stage MS inflammatory disease activity prediction approach.
• Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language
  6 Mar 2023 1 repository listed Syntology ran 0 of 3 samples · 3 unverified · 3 pointer-only (licence)
  Activity and property prediction models are the central workhorses in drug discovery and materials sciences, but currently they have to be trained or fine-tuned for new tasks.
• UBIWEAR: An end-to-end, data-driven framework for intelligent physical activity prediction to empower mHealth interventions
  30 Dec 2022 1 repository listed
  To this end, we propose UBIWEAR, an end-to-end framework for intelligent physical activity prediction, with the ultimate goal to empower data-driven goal-setting interventions.
• DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction
  14 Aug 2022 1 repository listed Syntology ran 1 of 2 samples · 1 unverified
  In particular, we first unify the fine-grained user similarity and the complex matching between user preferences and spatiotemporal activity into a heterogeneous hypergraph.
• The Analysis of Online Event Streams: Predicting the Next Activity for Anomaly Detection
  17 Mar 2022 1 repository listed
  We compare these predictive anomaly detection methods to four classical unsupervised anomaly detection approaches (such as Isolation forest and LOF) in the online setting.
• Meta-HAR: Federated Representation Learning for Human Activity Recognition
  31 May 2021 1 repository listed
  However, the effectiveness of federated learning for HAR is affected by the fact that each user has different activity types and even a different signal distribution for the same activity type.
• Learning to Abstract and Predict Human Actions
  20 Aug 2020 1 repository listed
  We propose Hierarchical Encoder-Refresher-Anticipator, a multi-level neural machine that can learn the structure of human activities by observing a partial hierarchy of events and roll-out such structure into a future…
• Prescriptive Business Process Monitoring for Recommending Next Best Actions
  19 Aug 2020 1 repository listed
  We present a PrBPM technique that transforms the next most likely activities into the next best actions regarding a given KPI.
• XNAP: Making LSTM-based Next Activity Predictions Explainable by Using LRP
  18 Aug 2020 1 repository listed
  PBPM techniques aim to improve process performance by providing predictions to process analysts, supporting them in their decision making.
• Group Activity Prediction with Sequential Relational Anticipation Model
  6 Aug 2020 1 repository listed
  Our model explicitly anticipates both activity features and positions by two graph auto-encoders, aiming to learn a discriminative group representation for group activity prediction.
• Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health Classification
  4 Jan 2020 1 repository listed
  Visualizing graph embeddings annotated with predictions of potentially suicidal individuals shows the integrated model could classify such individuals even if they are positioned far from the support group.
• Attention-based Multi-Input Deep Learning Architecture for Biological Activity Prediction: An Application in EGFR Inhibitors
  12 Jun 2019 1 repository listed
  These data were trained on a deep learning model which was also integrated with the Attention mechanism to facilitate training and interpreting.
• INFER: INtermediate representations for FuturE pRediction
  26 Mar 2019 1 repository listed
  Uncharacteristic of state-of-the-art approaches, our representations and models generalize to completely different datasets, collected across several cities, and also across countries where people drive on opposite…
• Data-driven Perception of Neuron Point Process with Unknown Unknowns
  2 Nov 2018 1 repository listed
  Previous research of neuron activity analysis is mainly limited with effects from the spiking history of target neuron and the interaction with other neurons in the system while ignoring the influence of unknown stimuli.

Syntology lines on 6 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.