GNNs

4 items

NEWS↑ trendingReddit r/MachineLearning·4/13/2026

[N] AMA Announcement: Max Welling (VAEs, GNNs, AI4Science & CuspAI)

Max Welling, a distinguished ML researcher and co-founder of CuspAI, will host an AMA to discuss his work spanning classical ML, AI for science and materials, and building "search engines" for next-generation materials. He has contributed significantly to areas like VAEs, GNNs, and Bayesian Deep Learning, and is currently focused on applying AI to physical and scientific systems.

VAEs GNNs Max Welling machine learning

NEWS↑ trendingReddit r/MachineLearning·4/15/2026

[N] AMA Reminder: Max Welling

Max Welling will answer questions on AI4Science, materials discovery, GNNs, VAEs, and Bayesian Deep Learning in an AMA on r/MachineLearning at 17:00 CEST. This reminder informs participants about the upcoming session and highlights that many questions have already been received.

GNNs Max Welling AMA AI4Science

RESEARCHarXiv CS.LG·4/13/2026

GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback

This paper proposes the "GNN-as-Judge" framework to enhance LLMs' performance in few-shot semi-supervised learning on Text-Attributed Graphs (TAGs) where labeled data is scarce. The method addresses the challenges of generating reliable pseudo-labels and mitigating label noise by incorporating the structural inductive bias of GNNs.

semi-supervised learning LLMs GNNs Few-Shot Learning

RESEARCHarXiv CS.CL·15d ago

Graph Alignment Topology as an Inductive Bias for Grounding Detection

Large Language Models (LLMs) are optimized for plausible continuations rather than explicitly verifying if generated propositions are entailed by source documents, limiting their use in critical domains. This research proposes leveraging alignment topology as an inductive bias by constructing aligned bipartite graphs between reference information and LLM outputs, then training a Graph Neural Network (GNN).

LLMs hallucination grounding detection GNNs