… of knowledge graph, this paper divides knowledge graph … learning based on neighbors and
semantic affinity[J]. Journal … Subgraph representation learning with hard negative samples …

… Apt52 had a higher streptomycin affinity (Kd = 14.52±0.59 20 … selected streptomycin aptamers
with high affinity and 409 … affinity for streptomycin and a Kd of 14.52 nM was obtained by …

… cells per well (three samples for untreated negative control, three samples for 0.75 mM
VSOP-R1, three samples for 0.75 mM VSOP-R2, three samples for 0.75 mM Resovist, and three …

Tumor-associated macrophages (TAMs) are abundant in near all solid tumors and are
involved in many aspects of cancer progression. The presence of TAMs is negative prognostic …

… were incubated in pure embedding solution overnight at room temperature, then placed in
embedding molds and heated in an oven at 60C to solidify the embedding agent. The paraffin-…

… Learning entity and relation embeddings for knowledge graph completion. In: Proc. of the …
Text document clustering based on phrase similarity using affinity propagation. Int’l Journal of …

… Because Protein-A has less than half the affinity for a mouse generated IgG than it does for
a rabbit IgG, an additional incubation step in 2 [secondary] antibody of Rabbit-Anti-Mouse, 1: …

… trained to generate probability graphs for the key points of human lower arms to solve this
problem. Sampling from the generated probability graphs can obtain additional candidates of …

… After isolation from root tissues of corn, ACCase was similarly inhibited by cycloxydim and
sethoxydim in a dose-dependent fashion. Soybean root ACCase was affected only slightly by …

… We explain the new algorithm in detail and also give sample analyses with the algorithm’s
implementation as software on the RUBATO Composer. We compare harmonic analyses with …