{"total":21,"rows":[{"id":"2101.08543","title":"Boost then Convolve: Gradient Boosting Meets Graph Neural Networks","created":"2021-01-21","cited_by_count":44,"area":null},{"id":"2103.14230","title":"Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution","created":"2021-03-26","cited_by_count":43,"area":null},{"id":"2103.14232","title":"ACRE: Abstract Causal REasoning Beyond Covariation","created":"2021-03-26","cited_by_count":30,"area":null},{"id":"2111.12990","title":"Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning","created":"2021-11-25","cited_by_count":27,"area":null},{"id":"2108.09127","title":"TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction","created":"2021-08-20","cited_by_count":26,"area":null},{"id":"2110.06399","title":"Dynamic Inference with Neural Interpreters","created":"2021-10-12","cited_by_count":24,"area":null},{"id":"2109.03560","title":"X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning","created":"2021-09-08","cited_by_count":19,"area":null},{"id":"2103.03987","title":"Selective Replay Enhances Learning in Online Continual Analogical Reasoning","created":"2021-03-06","cited_by_count":12,"area":null},{"id":"2109.10011","title":"Unsupervised Abstract Reasoning for Raven's Problem Matrices","created":"2021-09-21","cited_by_count":12,"area":null},{"id":"2209.11354","title":"Convolutional Learning on Multigraphs","created":"2022-09-23","cited_by_count":10,"area":null},{"id":"2107.10493","title":"Abstract Reasoning via Logic-guided Generation","created":"2021-07-22","cited_by_count":7,"area":null},{"id":"2111.12301","title":"Two-stage Rule-induction Visual Reasoning on RPMs with an Application to Video Prediction","created":"2021-11-24","cited_by_count":7,"area":null},{"id":"2206.02789","title":"Efficient and Accurate Physics-aware Multiplex Graph Neural Networks for 3D Small Molecules and Macromolecule Complexes","created":"2022-06-06","cited_by_count":6,"area":null},{"id":"2301.05860","title":"State of the Art and Potentialities of Graph-level Learning","created":"2023-01-14","cited_by_count":6,"area":null},{"id":"2103.00519","title":"KANDINSKYPatterns -- An experimental exploration environment for Pattern Analysis and Machine Intelligence","created":"2021-02-28","cited_by_count":5,"area":null},{"id":"2309.10532","title":"A Cognitively-Inspired Neural Architecture for Visual Abstract Reasoning Using Contrastive Perceptual and Conceptual Processing","created":"2023-09-19","cited_by_count":4,"area":null},{"id":"2411.19451","title":"Learning Visual Abstract Reasoning through Dual-Stream Networks","created":"2024-11-29","cited_by_count":4,"area":null},{"id":"2302.04238","title":"Computational Models of Solving Raven's Progressive Matrices: A Comprehensive Introduction","created":"2023-02-08","cited_by_count":2,"area":null},{"id":"2302.03907","title":"DDeMON: Ontology-based function prediction by Deep Learning from Dynamic Multiplex Networks","created":"2023-02-08","cited_by_count":0,"area":null},{"id":"2302.07137","title":"Deep Non-Monotonic Reasoning for Visual Abstract Reasoning Tasks","created":"2023-02-08","cited_by_count":0,"area":null},{"id":"2403.05014","title":"Simple Multigraph Convolution Networks","created":"2024-03-08","cited_by_count":0,"area":null}],"next_cursor":null}