conftrace_

message passing

579 papers

Explore in graph

Also known as

MP

Co-occurring keywords

graph neural network (3962) graphical model (864) node classification (482) belief propagation (177) representation learning (6206) variational inference (2069) attention mechanism (4001) combinatorial optimization (1039) approximate inference (253) graph transformer (114)

Papers

Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning AAAI 2025
Mitigating Over-Smoothing in Graph Neural Networks via Separation Coefficient-Guided Adaptive Graph Structure Adjustment IJCAI 2025
Mind Individual Information! Principal Graph Learning for Multimedia Recommendation AAAI 2025
Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling AAAI 2025
LLM-based Online Prediction of Time-varying Graph Signals (Student Abstract) AAAI 2025
Beyond Homophily: Graph Contrastive Learning with Macro-Micro Message Passing AAAI 2025
Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems AISTATS 2024
Monotone Operator Theory-Inspired Message Passing for Learning Long-Range Interaction on Graphs AISTATS 2024
P-tensors: a General Framework for Higher Order Message Passing in Subgraph Neural Networks AISTATS 2024
eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling NIPS 2024
ReGCL: Rethinking Message Passing in Graph Contrastive Learning AAAI 2024
Pure Message Passing Can Estimate Common Neighbor for Link Prediction NIPS 2024
How Does Message Passing Improve Collaborative Filtering? NIPS 2024
Graph Machine Learning through the Lens of Bilevel Optimization AISTATS 2024
Link Prediction in Multilayer Networks via Cross-Network Embedding AAAI 2024
Efficient Variational Sequential Information Control AISTATS 2024
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains JMLR 2024
Physics-Informed Graph Neural Networks for Water Distribution Systems AAAI 2024
Relational Concept Bottleneck Models NIPS 2024
Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks? NIPS 2024
Are Graph Neural Networks Optimal Approximation Algorithms? NIPS 2024
Structured Optimal Variational Inference for Dynamic Latent Space Models JMLR 2024
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting AAAI 2024
Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation NIPS 2024
WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets AAAI 2024